Computer System Validation Projects

opportunity

Create M365 Agent for Customer Service Team

Develop an M365 agent for a customer service team that ingests SOPs and prior email threads with responses, analyzes context, and generates actionable next-step replies. The agent should accept pasted inquiry emails and produce clear, concise guidance or draft responses aligned with documented procedures and historical resolutions. Deliverables: integration design with Microsoft 365, data parsing, response-generation logic, accuracy validation, and documentation for team members to use and maintain the agent.

Web/Software Engineer for Long-Term Remote Web Development

We are seeking a highly skilled Web/Software Engineer to join our team at Radaris. Radaris is a data-driven platform focused on people search and public records solutions. Website: https://radaris.com/ This is a long-term remote collaboration. Responsibilities: - Develop and maintain web applications using JavaScript, HTML, and CSS - Work with tools such as Bitbucket, JIRA, Adobe, and Visual Studio - Improve user experience and implement new features - Troubleshoot issues and ensure cross-browser compatibility - Collaborate with product managers and designers Requirements: - Master's degree in Computer Science or equivalent experience - At least 4 years of experience in front-end development and UX - Strong knowledge of JavaScript, HTML, and CSS - Experience with modern development tools and workflows

Word formatting and convert it to EPUB

I need an experienced book formatter and Kindle publisher to transform an unformatted Word manuscript into a polished, publication-ready EPUB. Tasks: apply consistent typography and styles, structure headings and chapters, generate table of contents, embed metadata, optimize images and footnotes, ensure EPUB validation and readability across devices. Preference for freelancers with demonstrated experience formatting books for Kindle and EPUB distribution. Deliverables: clean EPUB file and brief report of changes made.

GA4 Event Spike Audit & Fix

Over the past few days, I’ve noticed an unexplained surge in event counts in Google Analytics 4, far exceeding our usual traffic trends. The spike likely comes from either aggressive bot traffic or an issue with a tag that’s firing too often. I haven’t made any changes to the tracking setup myself, but I can’t rule out that someone on the team may have tweaked Google Tag Manager or the hard-coded snippets without informing me. I need a GA4 specialist to dive in, identify which events are inflating the numbers, and trace the root cause. The goal is to reconfigure the setup so only legitimate user interactions are logged. This includes reviewing GA4 debug view, GTM preview mode, referral patterns, IP ranges, and trigger conditions to isolate the problem. TASKS: 1. Investigate and pinpoint which events are causing the inflated numbers. 2. Identify whether this is due to bots, misconfigured tags/triggers, or other GA4/GTM setup issues. 3. Correct the GA4 and GTM setup so that only genuine user interactions are tracked. 4. Validate the fix for at least 24 hours to ensure data accuracy. 5. Provide a short report summarizing your findings, the root cause, and the changes made. If you have extensive experience with GA4, GTM, GA Debugger, Looker Studio, or BigQuery. Kindly contact ASAP. Thanks

3D Shoebox création

As real estate investors, we require surgical precision for our architectural visualizations. We are looking for a rigorous 3D Modeler to transform our 2D floor plans into 3D Shoebox views (top-down 3D perspectives). The goal is to provide a crystal-clear, reliable vision of the volumes and layout for our investment projects and to give a more visual result to our clients Our Standard: We are not looking for pretty pictures or fluff; we need structural accuracy that reflects the real-world constraints of our projects. Your Mission: - Accuracy: Every wall thickness, structural element, and opening (windows/doors) must strictly match the 2D CAD/PDF plan. No artistic liberties taken with measurements. - Detailed Furnishing: Furniture and fixtures must be placed exactly according to the layout to validate the functional flow of the space. - Technical Integrity: If a load-bearing wall or a technical shaft is on the 2D, it must be reflected perfectly in the 3D. - Clean Shoebox Aesthetics: High-quality textures and lighting, but with a focus on realism, proportions, and structural clarity.

Data engineer

We are seeking an experienced Data Engineer to help organize, clean, and structure complex real estate and regulatory compliance data across multiple sources. This role focuses on transforming inconsistent datasets related to leases, occupancy, tenants, and rent information into a reliable and scalable data foundation. The ideal candidate will review existing data, identify quality issues such as duplication and missing fields, and design standardized schemas and relationships. You will build transformation workflows to clean and normalize data from spreadsheets, databases, and system exports. In this role, you will create master datasets for properties, units, households, leases, and compliance tracking while implementing validation rules and exception reporting. You will also document data definitions, mapping logic, and business rules to support transparency and long-term maintainability, while collaborating with stakeholders to translate operational requirements into structured data models. Strong proficiency in SQL and Python is required, along with hands-on experience in ETL/ELT workflows and relational data modeling. Experience working with messy, Excel-heavy datasets and building data quality checks is essential, and familiarity with tools like dbt, Airflow, or cloud platforms such as Snowflake or BigQuery is highly preferred. Success in this role means delivering a clear, consistent source of truth for lease and occupancy data, reducing inconsistencies, and preparing the data environment for reporting, automation, and future product development.

opportunity

Zoho CRM Enterprise Build – Sales OS (SMS & VoIP Integration)

Project Overview We are a UK-based renewables installation business seeking an experienced Zoho CRM specialist to implement a fully specified sales operating system. This is not a discovery project. We have complete technical documentation (83 pages across three controlled documents, full field matrix, validation logic, workflow pseudo-code, and process maps with IF/THEN permutations) ready for implementation. We are now looking for a capable implementation partner to build exactly what is specified. Scope – Phase 1 Users: 6 (Sales, Manager, Admin) Modules included: Leads Contacts Accounts (Household model) Sites (custom module) Deals (pipeline enforcement engine) Lead Gen Providers (custom module) Funding Schemes (custom module) Core functionality includes: Lead → Contact + Account + Deal conversion (single action) Stage-based mandatory field enforcement Blueprint-style pipeline control Hard and soft duplicate detection rules UK postcode validation and normalisation workflows SMS automated first-touch with logging and opt-out enforcement VoIP click-to-call with automatic call logging and outcome enforcement Stage duration alerts and quote expiry alerts Data migration from Excel with deduplication Role-based field visibility and permissions Operational dashboards for sales performance Full documentation will be provided to shortlisted candidates only. Integrations SMS: Twilio (preferred) or MessageBird VoIP: 3CX / Aircall / CloudTalk (final provider to be confirmed) You must be comfortable configuring: API authentication Webhooks Activity logging Opt-out enforcement Error handling logic What We Are Looking For Essential: Proven Zoho CRM implementation experience Strong knowledge of validation rules and workflow logic Experience configuring Blueprints and stage enforcement Experience with SMS and VoIP API integrations Experience with data migration and deduplication Desirable: UK GDPR awareness Experience building sales process enforcement systems Experience working from formal technical specifications Who Should NOT Apply × Generalist VAs who “know Zoho” without implementation portfolio × Anyone without SMS/VoIP integration experience × Copy-paste proposals without demonstrating understanding of structured builds × Agencies planning to outsource this to junior developers × Anyone expecting a vague brief or discovery-led engagement This is a defined implementation project. Zoho Version We are open to recommendations between Zoho CRM Professional and Enterprise. Please specify which edition you recommend and why, based on Blueprint, API, and automation requirements. Budget & Timeline Initial budget indication: £600 This is a starting figure for Phase 1 configuration. After reviewing the documentation, you may propose a revised fixed price aligned to scope. Indicative development schedule: 3–4 weeks for configuration and integration, subject to agreement. Please provide your realistic delivery timeline. How to Respond Please include: Summary of relevant Zoho CRM builds Confirmation you are comfortable working from detailed technical documentation Experience with SMS and VoIP API integrations Suggested Zoho edition (Professional or Enterprise) and rationale Estimated timeline Fixed price proposal Shortlisted candidates will receive the full specification package before final appointment.

AI Automation Consultant

Company Overview Elegant Enterprise-Wide Solutions, Inc. is a government-focused IT services and consulting firm delivering innovative, enterprise-scale solutions across Federal, State, Local, Defense, and Intelligence sectors. With deep experience in complex environments, we specialize in software development, data analytics, cloud computing, cybersecurity, IT engineering, and business process automation—helping organizations modernize systems, improve efficiency, and achieve mission-critical outcomes. Position Overview Elegant Enterprise-Wide Solutions is looking for an experienced AI Consultant on a project-based / on-demand engagement model to design and implement AI-driven solutions that automate and enhance our Process. This role is best suited for a self-driven professional who can independently deliver outcomes and work on specific assignments with defined deliverables and timelines Engagement Model • Type: Freelance / Independent Consultant • Work Mode: Remote Required Qualifications • 4–8 years of experience in AI/ML, automation, or related domains • Hands-on experience with LLMs (e.g., GPT-based solutions, prompt engineering) • Strong understanding of automation workflows and APIs • Experience with tools such as: o Python, APIs, automation tools (Zapier, Make, Power Automate, etc.) • Ability to independently design and deliver solutions Application Requirements Interested candidates should share: • Relevant project experience • Examples of AI/automation solutions built • Tools and technologies expertise Availability and expected commercial terms (per project) Note: IST Time zone people are Preferred.

Need Full Stack Web Developer for Modern Website

Hello, I am looking for an experienced Full Stack Web Developer to build a modern and professional business website. The website should have a clean design, fast performance, and be fully responsive on all devices. Project Requirements: • Modern and professional UI design * Fully responsive (mobile, tablet, desktop) * Fast loading and optimized performance * Clean frontend and backend structure * Good user experience I have completed B.Tech in Computer Science and I also understand the technical structure of web development, so I am looking for someone who can deliver quality work with professional coding standards. Required Skills: • Full Stack Development * HTML5 * CSS3 * JavaScript * React.js * Node.js * Responsive Web Design * UI/UX Design Please share: • Your portfolio * Your experience * Your best price If the work is good, we can continue working together for future projects. Important: Please start your proposal with the word "WEBSITE" so I know you have read the full project details. Serious developers only. I am ready to start immediately. Thank you

opportunity

Reaction Training & Hand-Eye Coordination Platform

ReactMotion is a proprietary cognitive performance platform developed by ReactForge. It is built to train and measure reaction time and hand-eye coordination using standard webcam technology connected to a PC or laptop, requiring no specialized hardware. The platform uses real-time computer vision to capture, analyze, and score a user's physical response to on-screen stimuli. It is designed to serve a broad population: from youth athletes building foundational reaction speed to senior adults maintaining neuromotor sharpness to training elite athletes to maximize cognitive performance. ReactMotion is not a peripheral device product. It is a software-first platform that turns any device with a webcam into a certified reaction training tool. The goal is to make professional-grade reaction and hand-eye coordination training accessible, measurable, and scalable. We're looking for talented developer who thrives on innovation to bring a product from prototype to production. You will be the technical lead on ReactMotion, working directly with the ReactForge founder to define architecture, build features, and ship a platform that is ready for institutional adoption. As Lead Developer, you will be responsible for: Rebuilding the prototype into production-grade code Integrating with Supabase and the ReactForge data layer Designing the webcam + computer vision pipeline Ensuring performance on consumer grade hardware Build the scoring and analytics engine Establish the technical architecture for scale Design the user-facing training interface Collaborating on product roadmap and feature prioritization Required Skills: React or Next.js (frontend) JavaScript / TypeScript WebRTC or getUserMedia API for webcam access Canvas API or WebGL for rendering Supabase (auth, database, storage) REST API design and implementation Git and collaborative development workflow Additional skills that would be an asset: MediaPipe or TensorFlow.js experience Computer vision background Prior work on real-time data capture applications Sports technology, health tech, or EdTech domain experience Experience with AI-assisted development workflows The Lead Developer will be evaluated against the following milestones: Webcam capture pipeline functional, basic reaction drill running end-to-end Core drill library complete (5 drill types), scoring engine live Athlete dashboard, session history, and export to PDF operational Coach dashboard, drill builder, and Supabase integration complete ReactView integration live, API layer documented and tested Platform commercially deployable for first institutional pilot ReactMotion already works with a working prototype. This role is not about building from zero. It is about taking a functioning prototype and turning it into a live platform. To be considered, a concise reply must be received for all 3 interview questions.

Data scraping

I require an experienced data researcher / scraping specialist to extract high-quality, niche-specific data from multiple UK sources and deliver it in a clean, structured format. This is not a bulk scraping job — accuracy and relevance are critical. Scope of Work: 1. Target Data (Initial Focus) I am looking to build lists for the following niches: • Property investors (Buy-to-Let, HMO, developers) • Company directors in property-related businesses • Business owners suitable for commercial finance ⸻ 2. Data Sources You may use a combination of: • Companies House (via SIC codes & director data) • Property-related platforms (where legally accessible) • Public directories • LinkedIn (Sales Navigator filtering – manual research, not scraping if restricted) • Other compliant UK data sources ⸻ 3. Required Data Fields Each record should include (where available): • Full Name • Company Name • Role (Director / Owner) • Email Address (verified where possible) • Phone Number (if available) • Location (UK-based) • Industry / SIC Code • Notes (if relevant, e.g. property investor / developer) ⸻ 4. Data Quality Requirements • UK-based contacts only • No duplicate entries • No generic or irrelevant businesses • Data must be accurate and up-to-date • Avoid scraped junk or low-quality lists ⸻ 5. Compliance (VERY IMPORTANT) • All data must be sourced from publicly available or compliant sources • Must comply with UK GDPR guidelines • No illegal scraping or data extraction methods • No use of prohibited LinkedIn automation tools ⸻ 6. Output Format • Excel / Google Sheets • Clearly structured columns • Clean, ready for outreach use ⸻ 7. Initial Volume • Phase 1: 4000-5000 high-quality leads • Potential for ongoing weekly/monthly work ⸻ Ideal Candidate: • Experience with UK data sourcing (Companies House, etc.) • Strong data cleaning and validation skills • Familiar with B2B lead generation • Understanding of property / finance sector is a plus • Able to suggest better data sources (not just follow instructions) ⸻ Budget & Timeline: • Open to proposals based on quality • Looking to start immediately • Ongoing work available for the right person ⸻ To apply, please include: • Examples of similar data projects • Tools you use for sourcing and verification • Your approach to ensuring data accuracy ⸻ Start your proposal with: “Quality over quantity — understood” ⸻ Additional Notes: This project is focused on building a long-term data pipeline for targeted outreach campaigns. I am looking for someone reliable who can consistently deliver high-quality results.

Build UK activity and experience operator company database

Overview We are building a structured database of UK activity, tour and experience operators. This is a research-focused project requiring accurate company information plus verified senior decision-maker contact details. Pricing Structure & Proposal Requirements This project is structured as fixed-price batches. We are not publishing a budget range and will be assessing proposals based on methodology, accuracy and commercial fit. Proposals without clear pricing will not be considered. Please provide fixed prices for the following: Trial Batch: 50 completed records Production Batch: Per 1,000 completed records Your proposal should also include: Estimated turnaround time per batch Scope of Work – UK Operator Research (Manual List Building) Research UK-based operators that both take bookings and directly deliver experiences, tours or activities themselves. Include only the actual service providers. Exclude agents, resellers, marketplaces, aggregators or any business that does not run and fulfil the activity in-house. Companies must control and fulfil the experience themselves and must not operate solely as listing platforms, brokers, agents, or ticket resellers. Use the attached market categories document as the target markets. Data Required (columns in spreadsheet) Company Information Company Name Website URL City or Region (UK only) Activity Category Source (Google Maps, Tripadvisor, Viator, GetYourGuide etc.) Decision-Maker Information Full Name of Senior Decision Maker Job Title (Owner, Founder, Managing Director, General Manager, Head of Operations etc.) LinkedIn Profile URL Verified Work Email Address (personalised to the named contact only) Mobile Phone Number (if publicly available) Office Phone Number Booking system used (Bókun, FareHarbor, Rezdy, TrekkSoft, Regiondo, Beyonk, TicketingHub, Bookeo, BookingLive, Xola, bookinghound etc) Quality Expectations UK-based companies only Must have a working website Senior decision makers only Emails must be verified and belong to the named individual Email addresses must be validated using recognised professional verification methods and must not be guessed, pattern-generated, or sourced from bulk lead databases. No generic inboxes Phone numbers must be publicly listed or clearly attributable to the company Profiles must be validated against a current LinkedIn page LinkedIn profiles must clearly show the individual’s current role at the listed company. Profiles without visible company alignment may be rejected. No duplicates One company per row Quality Benchmarks Relevance (Pass / Fail) Companies must be genuine operators that run and deliver their own activities. Decision-Maker Accuracy Contacts must hold senior roles such as Owner, Founder, Managing Director, General Manager or Head of Operations and be validated via LinkedIn. Email Standards Only verified work emails for the named senior decision maker are accepted. Data Structure & Consistency Correct spelling, clean clickable URLs and consistent formatting are required. Trial Batch Benchmarks The first batch will be reviewed against the following benchmarks: Minimum 80% relevant companies Minimum 60% verified senior emails Project Structure & Commitment Phase 1 – Trial Batch The project will begin with an initial trial delivery of 50 completed records. This phase will be used to evaluate research quality, relevance and adherence to the requirements. Phase 2 – Scaled Delivery If the trial batch meets expectations, the project may continue in larger batches of up to 1,000 records at a time. Flexible Engagement This is an ongoing research engagement rather than a fixed-volume contract. Work may be paused or stopped by the client at any stage, during or after any batch, without further commitment or obligation and for any reason. Additional batches must not begin without explicit approval. File Format Microsoft Excel (.xlsx) or Google Sheets format only UTF-8 compatible text formatting Data Ownership All data created as part of this project becomes the sole property of the client upon payment and may not be reused or resold elsewhere. Right to Pause or Stop The project may be paused or stopped after any delivery for any reason by the buyer. Client Acceptance Rights The client reserves full discretion to accept or reject any submitted batch based on relevance, accuracy, structure, or adherence to the requirements outlined in this brief. Acceptance is confirmed only when the client explicitly approves the batch in writing within the platform. If a batch does not meet expectations or benchmarks, the client may reject the submission and discontinue the engagement immediately. If a batch is rejected, the client will not release payment for that milestone. Trial Batch Evaluation The initial 50-record trial batch will be assessed against the stated quality benchmarks. Failure to meet benchmarks may result in rejection of the batch and closure of the contract without further obligation.

Career Assessment Engine (AI powered)

I am looking for a full stack developer who will help me to create a platform that will guide students to identify the careers that are best suited for them based on a proprietary framework that I have created. I have been using this offline and now want to scale up by creating an online platform How it works: ✅ Multiple question sets that I have designed→ answers captured from user. Answers can be based on scores or open ended text answers ✅ Non Question Inputs like grades, non academic achievements etc that user will upload ✅ Scores are normalized ✅ The framewrok that I have created generates fit scores for different career paths/roles ✅ Output = visual report/dashboard + narrative insights + PDF/shareable link What needs to be built (MVP): ✅ An interface to ask questions ✅ one-by-one questions, smart prompts ✅ back/edit last answer, progress bar, pause/resume ✅ validate only 1–5 responses ✅ Scoring engine ✅ map answers → framework dimensions ✅ section scores + normalized scores + career fit ranking based on framework ✅ configurable weights (transparent logic) from backend Tech (flexible) : Next.js/React + Node/Python + OpenAI + Postgres/Firebase + charts (Recharts/Chart.js) + deploy on Vercel/Render. I will provide : question sets (owned by me)+ framework structure + CFIS mapping + sample report format.

AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)

Responsibilities AI / Machine Learning Build and deploy AI-powered applications using existing Large Language Models (LLMs). Design systems that ingest data, extract structured insights, and generate accurate outputs. Develop RAG pipelines, chunking strategies, and LLM orchestration workflows. Build tools for model training, evaluation, inference serving, monitoring, and alerting. Experiment with modern ML frameworks and open-source AI tools. Software Engineering Develop scalable microservices that integrate AI models with production systems. Build APIs and backend services to process and manage AI-generated data. Work with modern programming languages such as Python, JavaScript, Go, or Rust. Data Engineering Design pipelines to extract, transform, and load data from multiple sources. Clean, normalize, and validate datasets for model usage. Optimize data pipelines for reliability and performance. Database & Infrastructure Design database schemas and optimize queries. Manage performance and scalability of data storage systems. Ensure AI infrastructure is production-ready and scalable. Collaboration Work closely with product managers, engineers, and subject matter experts. Communicate technical challenges and solutions clearly. Help define best practices for AI system architecture and development. Requirements Based in the European Union 8+ years of software engineering experience Strong experience with Python or JavaScript Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) AI / LLM Experience Experience building RAG systems Knowledge of chunking strategies for LLM optimization Experience with LangChain, LangGraph, or similar orchestration tools Familiarity with AI monitoring, observability, and evaluation frameworks Experience building agent-based workflows or AI automation Engineering Experience Experience building microservices and scalable systems Strong knowledge of data pipelines and ETL processes Experience designing and optimizing databases and data models Additional Skills Strong understanding of ML concepts and NLP techniques Ability to work with ambiguous problems and rapidly evolving AI tools Experience with modern software development practices (Git, testing, CI/CD, code reviews) Engagement Details Location: Remote (EU-based freelancers only) Contract: Freelance Availability: Part-time or Full-time Duration: Long-term collaboration possible Nice to Have Experience building AI agents or multi-agent workflows Experience with evaluation frameworks for LLMs Experience deploying AI infrastructure in production environments

AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)

Responsibilities AI / Machine Learning Build and deploy AI-powered applications using existing Large Language Models (LLMs). Design systems that ingest data, extract structured insights, and generate accurate outputs. Develop RAG pipelines, chunking strategies, and LLM orchestration workflows. Build tools for model training, evaluation, inference serving, monitoring, and alerting. Experiment with modern ML frameworks and open-source AI tools. Software Engineering Develop scalable microservices that integrate AI models with production systems. Build APIs and backend services to process and manage AI-generated data. Work with modern programming languages such as Python, JavaScript, Go, or Rust. Data Engineering Design pipelines to extract, transform, and load data from multiple sources. Clean, normalize, and validate datasets for model usage. Optimize data pipelines for reliability and performance. Database & Infrastructure Design database schemas and optimize queries. Manage performance and scalability of data storage systems. Ensure AI infrastructure is production-ready and scalable. Collaboration Work closely with product managers, engineers, and subject matter experts. Communicate technical challenges and solutions clearly. Help define best practices for AI system architecture and development. Requirements Based in the European Union 8+ years of software engineering experience Strong experience with Python or JavaScript Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) AI / LLM Experience Experience building RAG systems Knowledge of chunking strategies for LLM optimization Experience with LangChain, LangGraph, or similar orchestration tools Familiarity with AI monitoring, observability, and evaluation frameworks Experience building agent-based workflows or AI automation Engineering Experience Experience building microservices and scalable systems Strong knowledge of data pipelines and ETL processes Experience designing and optimizing databases and data models Additional Skills Strong understanding of ML concepts and NLP techniques Ability to work with ambiguous problems and rapidly evolving AI tools Experience with modern software development practices (Git, testing, CI/CD, code reviews) Engagement Details Location: Remote (EU-based freelancers only) Contract: Freelance Availability: Part-time or Full-time Duration: Long-term collaboration possible Nice to Have Experience building AI agents or multi-agent workflows Experience with evaluation frameworks for LLMs Experience deploying AI infrastructure in production environments

Brand Strategy & Market Research: Hibiscus & Guava Juice (UAE)

For this initial phase conversation, I'd appreciate concise responses written in your own voice. I understand AI might constitute a large portion of your work which is totally fine as long as the content is backed with real data and real research. However, for this initial phase before hire I'd appreciate it if we could speak human-to-human. I'm interested in hearing about your previous experience with similar projects in the region and examples of your work along with your availability. I do not expect lengthy responses with re-iterations of the project description below. Thank you! ABOUT THE BUSINESS I'm launching a small-batch premium juice brand in the UAE, focused on two SKUs: hibiscus juice and hibiscus-guava juice. The plan is to sell primarily through Instagram, with potential for university cafes, markets and local delivery. This is an early-stage startup — I'm looking for validation and a clear strategy before scaling. --- WHAT I NEED FROM YOU 1. MARKET BENCHMARKING - Identify 8–12 direct competitors selling similar juice / wellness drinks in the UAE (Instagram, Noon, local markets) - Document their pricing, packaging, follower count, engagement rate, and content style - Identify gaps or underserved angles in the market I can position into 2. TARGET AUDIENCE PROFILE - Define 1–2 ideal customer personas (demographics, lifestyle, buying habits in UAE context) - Where they spend time online and what content resonates with them 3. INSTAGRAM LAUNCH STRATEGY - Recommended content pillars (3–4 themes for posts/reels) - Posting frequency and format mix (reels vs. static vs. stories) - Hashtag strategy for UAE F&B / wellness niche - Suggested tone of voice and visual direction 4. GO / NO-GO ASSESSMENT - Based on your research, give me an honest recommendation: is there a viable market gap for this product? - Key risks and opportunities --- DELIVERABLES - 1 x PDF or slide deck report covering all of the above - Short summary of your top 3 recommendations - 30-min call to walk me through findings --- IDEAL FREELANCER - Experience in UAE / GCC market (essential) - Background in F&B, wellness, or consumer brands preferred - Familiar with Instagram growth and content strategy - Can deliver within 2–3 weeks --- BUDGET Depending on experience and scope. Open to discussion. To apply, please share: (1) a relevant past project, (2) your proposed approach, and (3) your timeline and rate.

Integration Specialist for Self Storage SaaS with HubSpot

Summary We are seeking an experienced integration specialist to connect our self storage specific SaaS system with HubSpot. The ideal candidate will have a strong background in API integrations and a deep understanding of CRM systems. We will handle the data imports from head office. We require the most support with connecting the 2 systems in order to achieve contact synchronization, unit availability synchronization, order creation in the SaaS from HubSpot deals . If you have a proven track record in SaaS integrations and are familiar with self storage or CRM systems, we want to hear from you! Objective Integrate HubSpot with the operational storage management platform to support sales and storage operations. We are adopting a dedicated operational platform for managing storage units and tenancies across its sites. The business already uses HubSpot for sales, marketing and customer relationship management. An integration is required so that: Sales enquiries, quoting and deal management remain in HubSpot Unit management and tenancy operations are handled in the operational platform Both systems maintain consistent visibility of customers and unit status Brief 1. Objectives a. Maintain HubSpot as the sales platform Sales teams continue to manage enquiries, quotes, deals and the pipeline within HubSpot. b. Use the operational platform for storage management The operational platform will handle unit inventory, allocation of units, tenancy lifecycle and occupancy status. c. Synchronise core data between systems Both platforms should stay aligned on customer records, unit inventory, unit availability and occupancy status. d. Automate order creation When a deal reaches a defined stage in HubSpot: i. a customer record should exist in the operational platform ii. an order should be created in the operational platform iii. the order ID should be stored in HubSpot e. Provide operational visibility in HubSpot Sales and customer service staff should be able to see which units a customer occupies, unit availability and operational status directly within HubSpot. 2. Functional Requirements a. Contact Synchronization i. Create customers in the operational platform from HubSpot contacts ii. Update customer information iii. Store the customer ID in HubSpot Email will likely act as the primary matching key. b. Unit Types HubSpot should contain a representation of unit types including size, location, pricing and metadata to support quoting and deal creation. c. Storage Unit Visibility HubSpot should display unit identifiers, availability, occupancy status and associated unit type. Units remain controlled in the operational platform and read-only in HubSpot. d. Deal to Order Process When a deal reaches a defined pipeline stage in HubSpot: i. Confirm or create the customer in the operational platform ii. Create an order in the operational platform using the selected unit type iii. Store the order ID on the HubSpot deal e. Operational Updates Changes in the operational platform should update HubSpot including order creation, tenancy creation, move-in confirmation and occupancy changes. 3. Technical Context The initial concept uses HubSpot workflows, webhooks and API connections between HubSpot and the operational platform. However, we are open to recommendations on the most appropriate integration architecture. 4. Project Timeline Expected delivery timeframe: approximately 2–3 months including testing and validation. 5. What We Are Requesting We are seeking proposals covering: Recommended integration approach Estimated implementation timeline Project cost estimate Ongoing maintenance requirements (if any)

opportunityurgent

Product Data Mapping Specialist Needed for 250,000 SKU EPOS File

Job Description: We are looking for a detail-oriented freelancer to support a structured data-mapping project for a large EPOS export containing approximately 250,000 products. Each product includes core fields such as SKU, description, brand, size, and other attributes. Your role is not to create new category structures, but to map each product accurately and consistently into a predefined hierarchy and tagging framework. This work is highly important as the mapped data will be used for reporting, analytics, and future automation, so accuracy, logic, and consistency are essential. Scope of Work Each product must be assigned to a fixed 3-level category hierarchy: Department (Level 1) Sub-Department (Level 2) Analysis Code (Level 3) Example: Department: ART Sub-Department: PAINT Analysis Code: WATERCOLOUR This means all watercolour paints would be mapped to: ART → PAINT → WATERCOLOUR We will provide: The approved list of Departments The approved Sub-Departments for each Department The approved Analysis Codes for each Sub-Department You must not create new categories, rename existing ones, or deviate from the supplied structure without approval. Existing Top-Level Departments Examples include: ART CRAFT STATIONERY JIGSAWS LEGO Additional departments will be included in the master file. Tagging Requirements In addition to category mapping, products must also be assigned tags in separate columns. Required tag groups include: Brand (for example: Winsor & Newton, Faber-Castell, LEGO) Size / Volume (for example: 12ml, A4, 500g, Pack of 10) Other clearly identifiable and consistently reusable attributes where appropriate Tags must be: Clean Standardised Reusable Free from unnecessary variations Mapping Rules Use the product name, description, brand, and available attributes to determine placement Similar products must always be mapped consistently If a product is unclear or ambiguous, flag it instead of guessing Do not make assumptions without a logical basis Output Required The final Excel output should include at minimum: Original SKU / Product ID Department Sub-Department Analysis Code Brand Tag Size Tag Notes / Flags (if applicable) Important Requirements No blank category fields unless clearly flagged No free-text category creation Strict adherence to the supplied structures Strong attention to detail and consistency throughout Validation Process Before full rollout, we would like the selected freelancer to complete a small sample batch for validation. We will review this first to ensure alignment before the full file is processed. Ideal Freelancer We are looking for someone with: Strong Excel skills Excellent attention to detail Experience with large product catalogues, categorisation, or data cleansing A logical and methodical approach to classification work If anything in the structure or logic is unclear, we would expect questions to be raised early. It is more important that this is done correctly than quickly. Please include relevant experience when applying, especially any examples of product mapping, taxonomy work, catalogue clean-up, or structured data classification.

opportunity

Music led AI proposition (MVP - next stage)

Hi All, see below what we are looking for: We've developed an AI-powered platform built to help businesses craft compelling pitches and proposals. Currently at MVP stage and using the Claude AI API, the product has proven its core concept and is ready to scale. We’re looking for an experienced consultant developer to take it from MVP to a robust, secure, multi-tenant product that is ready for commercial growth. The Role This is a freelance/contract engagement, fully remote. You’ll work closely with the founder to define the roadmap, make key technical decisions, and deliver a more polished, secure, and scalable version of the product. The right person will be comfortable working across the full stack and will have a genuine interest in AI-powered products. Scope of Work 1. Build Out the Product Proposition • Evolve the MVP into a fuller product experience — improved UX, additional features, and a clearer user journey. • Identify and close gaps between the current MVP and a market-ready product. • Work collaboratively to define and prioritise the feature roadmap. 2. Multi-Tenant Authentication & Secure Login • Design and implement a secure, scalable multi-tenant login architecture so that separate companies can access the platform with fully isolated accounts. • Implement role-based access control (RBAC) where appropriate. • Evaluate and integrate a suitable auth provider (e.g. Auth0, Clerk, Supabase Auth, or similar). 3. Security Enhancement • Audit the current codebase and infrastructure for security vulnerabilities. • Implement security best practices: input validation, rate limiting, secrets management, and secure API handling. • Ensure GDPR compliance for UK/EU users — data handling, storage, and deletion policies. • Set up appropriate logging and monitoring for security events. 4. Improve AI Matching & Recommendations • Review and refine the existing Claude-powered matching logic. • Improve the quality, relevance, and consistency of AI-generated outputs. • Explore additional prompt strategies, context management, and retrieval approaches (e.g. RAG) to strengthen results. 5. Optimise the Claude API Configuration • Audit and refine the existing Claude API set-up: model selection, system prompts, token usage, and response handling. • Implement cost controls and ensure API usage is efficient and well-monitored. • Stay current with Anthropic’s best practices and model updates. 6. Scalability & Infrastructure • Assess the current infrastructure and recommend improvements to support growth. • Ensure the system can handle multiple concurrent users and company accounts without degradation. • Implement database optimisations and appropriate caching where needed. 7. Testing, Documentation & Handover • Establish a testing strategy (unit, integration, and end-to-end tests) to ensure code quality as the product scales. • Document the architecture, API, and key decisions so future developers can contribute effectively. • Provide a clean handover with clear notes on any ongoing work or future recommendations. What We’re Looking For • Proven experience taking products from MVP to production-ready, at pace. • Strong full-stack development skills — comfortable across front-end, back-end, and infrastructure. • Solid understanding of authentication systems and multi-tenant architectures. • Experience with LLM APIs — ideally Claude/Anthropic, or similar (OpenAI, Gemini). • Security-conscious mindset with practical knowledge of common vulnerabilities and mitigations. • Familiarity with GDPR and data privacy requirements in the UK/EU context. • Strong communicator — able to translate technical decisions into plain language for a non-technical founder. • Fluent in written and spoken English — clear communication is essential as you’ll be working closely with the founder throughout. • Self-directed, reliable, and comfortable working asynchronously. • Experience with prompt engineering and LLM optimisation. • Background in B2B SaaS products. • Knowledge of RAG (Retrieval-Augmented Generation) or vector database approaches. • Familiarity with analytics and observability tooling. A few notes: 1. If you can't communicate in English please don't apply as i will need to speak to you to grow this 2. Must have experience in developing or creating Ai websites (i will be asking for this) 3. Make sure your application is relevant to what the above is asking, if it isn't then it will auto-rejected. Thanks

I need an experienced AI engineer

We are hiring a Senior AI Engineer to own and accelerate AI capabilities across the platform — from customer-facing features to internal agentic workflows and production-grade AIOps. This is a high-impact, hands-on role where you will shape the next generation of AI systems and directly influence customer experience, product velocity, and operational efficiency. The Opportunity You will lead development across three core pillars: - AI Product Engineering – Ship core AI-powered features — intake, scheduling, session notes, billing automation, and more. - AI Foundations / Enablement – Build reusable primitives, evaluation tooling, and golden paths. - Agentic Workflows & AIOps – Create AI agents that automate operational work and support internal operations. What You’ll Do AI Product Engineering (Customer-Facing Features) - Build AI features end-to-end: requirements → design → implementation → rollout → evaluation. - Implement LLM-backed workflows including summaries, extraction, structured output, copilots, billing scrubbing, and guided automation. - Collaborate across Product, Design, QA, and Clinical SMEs. Own AI-powered improvements across: RCM, scheduling, intake, documentation, reporting, customer support automation. AI Foundations / Enablement - Create reusable AI primitives: prompt templates, agent patterns, tool schemas, safety guardrails, retrieval modules. - Build evaluation harnesses and continuous regression testing. - Enable developer productivity via AI coding tools and best practices. - Establish “golden paths” for consistent and safe AI feature delivery. Agentic Workflows & AIOps - Develop in-platform agents for billing checks, eligibility validation, claim scrubbing, data cleanup, workflow routing, and anomaly detection. - Build AIOps capabilities: incident summaries, RCA suggestions, intelligent alerts, correlation. - Integrate with telemetry systems for intelligent operations. LLMOps / Production-Ready AI - Implement monitoring, cost governance, retries, fallbacks, and safe-mode behavior. - Own prompt/model evaluation frameworks and online QA metrics. - Ensure HIPAA-aligned data flows: privacy controls, redaction, audit logs, PHI boundaries. Data & Infrastructure - Build vector stores, embeddings, retrieval workflows, and knowledge bases. - Partner with data engineering for eval datasets and rulesets. - Contribute to scalable infrastructure for AI agents and async workflows. Tech Stack - AI Platforms: Azure OpenAI, OpenAI, Anthropic, Bedrock - Frameworks: RAG, agents, orchestration - Backend: .NET, Node.js, Python - Data: SQL Server, Postgres, Redis, vector databases - Observability: Grafana, Loki, Prometheus, OpenTelemetry - Cloud: Azure, AWS, Docker, Kubernetes - AI Dev Tools: Copilot, Claude Code, Cursor, Kiro What You Bring - 5–10+ years building production software systems. - Hands-on experience delivering LLM-powered features or AI agents. - Strong engineering fundamentals. - Experience with LLMOps, safety, monitoring, evaluation. - Strong cross-functional communication. - Healthcare / HIPAA experience a plus. - Fluent English