Product Design Projects

opportunity

AI Coordinator

AI Operations Expert for Multi-Channel Ecommerce Overview I run a fast-growing online brand selling through multiple storefronts. I need help from an AI operations expert to streamline our marketing and operations across all platforms. Scope of work - Clone and redeploy marketing assets across Amazon, Etsy, TikTok Shop, website, eBay, Facebook, and Instagram. - Design automated funnels turning social followers into customers using chatbots and dynamic offers. - Monitor and optimize AI stack, including data pipelines, prompt tweaking, insights surfacing, and documentation. - Ensure platforms pass brand-review spot checks and deploy unified creative assets. - Develop automated funnels ready for attribution from first social touch to checkout. - Create a clear dashboard or weekly report with performance metrics and system alerts. - Document step-by-step SOPs for junior team members to run basics. References - Current tools: Shopify, Zapier, Klaviyo, Meta Ads Manager, Amazon Ads, ChatGPT; Open to Make, Tray.io, Manychat. Additional information I'd love to hear how you can prove a more efficient mix of tools. Let's set up a call and map the roadmap together. Company details - I run a fast-growing online brand with storefronts on Amazon, Etsy, TikTok Shop, website, eBay, Facebook, and Instagram. - Ecommerce Automation Type Data syncing, Marketing campaign, CRM workflows, Task automation, Email automation ntegration Points Website, Shopify, Social Media, Email Platforms , , , Websites, , , Instagram, Shopify, Zapier Ideal candidate (Optional) Budget and timeline (Mandatory)

opportunity

Trading bot development

Project Overview We are building a high-performance, low-latency trading engine designed for microstructure-based execution strategies in a high-tax (STT) environment. This is NOT a basic retail trading bot. This system requires advanced system-level engineering, multi-core CPU architecture control, shared memory communication, and real-time observability dashboard. The focus of this project is minimizing latency between signal generation and order execution while maintaining regulatory compliance (Order-to-Trade Ratio constraints). The developer must understand low-level performance optimization, concurrency architecture, and Linux system behavior. Core Technical Requirements Python Version (Mandatory) The engine must use: Python 3.13 Free-Threaded build (3.13t) NOT standard Python 3.10–3.12 Reason: Standard Python uses the Global Interpreter Lock (GIL), which blocks true parallelism. In low-latency systems, a 1–2ms delay caused by GIL contention is unacceptable. Multi-Core Architecture with CPU Core Pinning The engine must: Assign specific modules to specific CPU cores Use os.sched_setaffinity (Linux only) Prevent OS core migration (avoid context switching) Modules include: Sentinel (Risk & OTR monitoring) Sonar (Market entropy / regime detection) Oracle (Signal calculation loop) Execution Engine (Order placement) The goal is to eliminate unpredictable latency spikes caused by OS scheduling and cache invalidation. Inter-Process Communication Standard Python queues are NOT acceptable. Communication must use: multiprocessing.shared_memory Memory-mapped buffers Lock-free ring buffer architecture Reason: Standard queues introduce locking and object allocation overhead, increasing latency. The target is sub-millisecond internal communication between signal generator and execution engine. Latency Measurement The system must measure: End-to-end order placement latency Round-trip time (RTT) Module processing time Using: time.perf_counter_ns() Latency histogram logging This data must be streamed to the dashboard. Order Execution Logic The system should: Prefer passive limit orders Include 200ms cancel logic Manage Order-to-Trade Ratio (OTR) Implement controlled order flooding logic (compliant with broker rules) This is not a simple market order bot. FRONTEND REQUIREMENTS (React Dashboard) The frontend is NOT a trading UI. It is a real-time monitoring and control cockpit. Preferred stack: React (Vite or Next.js) WebSocket for live streaming Lightweight charting (Canvas or WebGL-based) Required Dashboard Modules Sentinel Panel Real-time RTT graph 20ms lockdown threshold indicator CPU usage per pinned core Emergency status Sonar Panel Market regime indicator (Attack / Veto mode) Entropy score display Zero-trust gate status Oracle Panel Weighted Order Book Imbalance (WOBI) heatmap Liquidity imbalance % Signal strength score Must use high-performance rendering (Canvas, not heavy SVG). Execution Panel Net Expected Value (NEV) Fill rate % Cancel rate Order-to-Trade Ratio (OTR) status Emergency Kill Switch Dashboard must include: Global kill switch Sends signal to monitoring service Monitoring service writes flag to shared memory Engine halts immediately Dashboard must NOT communicate directly with broker API. Deployment Requirements Linux-based environment (Ubuntu preferred) Dockerized setup preferred Separate processes: Trading engine Monitoring microservice React frontend Google Cloud compatible. 10 MOST IMPORTANT SKILLS TO ADD Attach these skills on Freelancer: Python 3 (Advanced Concurrency & Multiprocessing) Must understand GIL, free-threaded builds, shared memory. Low-Latency System Design Experience reducing microsecond-level bottlenecks. Linux System Programming Knowledge of CPU affinity, process scheduling, performance tuning. Multithreading & Multiprocessing Architecture Designing multi-core optimized applications. Memory Management & Shared Memory IPC Experience with mmap, shared memory buffers. Financial Market Microstructure Knowledge Understanding order books, liquidity imbalance, passive vs aggressive orders. WebSocket & Real-Time Streaming Required for live dashboard data. React.js (Performance-Optimized UI) Real-time data rendering without UI lag. Performance Profiling & Benchmarking Must measure and optimize latency. Cloud Deployment (Google Cloud / Linux VM / Docker) Production-ready deployment experience. VERY IMPORTANT Add this to filter weak developers: Applicants must answer the following: Have you worked with Python shared memory or mmap before? Have you implemented CPU core pinning on Linux? How would you measure internal engine latency? How would you prevent dashboard from affecting trading engine performance? This will eliminate 80% of generic bot developers.

Increase organic reach to my website https://maidenventures.co/

Hi, We are looking for help with three specific tasks increase traffic to www.maidenventures.co design update a general website optimisation to increase the speed When anyone in Sydney type the following words I would like the website to come up Technology in construction Energy saving Solar loans Building energy audits Electricity savings Gas Savings Utility bills