Resume Cv Writing Projects

opportunity

Brand Launch & Growth Operator

Overview We’re launching a premium functional beverage brand in the UK and looking for a highly creative, execution-focused operator to own the launch. This is a content-first brand. Success will be driven by: • TikTok and Instagram content • UGC and creator strategy • Strong brand identity and storytelling If you understand how products go viral and convert through content, this role is for you. What You’ll Own (Execution Role) This is not a strategy-only role. You will plan and execute. 1. Social Media Launch (Top Priority) • Build and execute TikTok and Instagram launch strategy • Plan and post daily or near-daily content • Create or direct viral-style short-form videos 2. UGC and Creative Direction (Core Focus) • Identify and manage UGC creators • Write content briefs (hooks, angles, formats) • Produce and manage: • UGC ads • Campaign visuals • AI-generated creatives You must understand what converts on TikTok. 3. Brand Story and Visual Direction • Refine and execute: • Brand messaging • Tone of voice • Visual direction • Ensure consistency across: • Social content • Website • Amazon listing 4. Launch Execution • Build a 30–60 day launch plan • Execute: • Creator seeding • Content drops • Launch campaigns 5. Amazon UK (Execution) • Create listing copy (SEO optimised) • Manage hero images and infographics (can outsource) • Set up basic Amazon PPC 6. TikTok Shop • Set up TikTok Shop (UK) • Upload and optimise product listings • Activate creator affiliate strategy 7. Website • Work with developer to ensure: • Strong product page conversion • Clear messaging • Advise on bundles and offers What Success Looks Like (First 30–45 Days) • Social pages launched with consistent, high-quality content • UGC creator pipeline active • TikTok Shop and Amazon live • First 50–200 orders • Early traction (views, engagement, conversions) Ideal Candidate • Experience launching consumer brands (especially TikTok-first) • Strong understanding of: • UGC that converts • TikTok trends and content formats • Hands-on execution mindset (not just strategy) • Comfortable using AI tools for content creation Must Include in Your Application To be considered, you must include: 1. TikTok or Instagram accounts you’ve grown 2. Examples of UGC or ads you’ve created 3. Brands or products you’ve helped launch 4. A short answer to this question: “How would you get the first 100 sales for a new hydration product?” Do Not Apply If • You are an agency charging high retainers • You only focus on paid ads without content or UGC experience • You cannot show real TikTok results Ongoing monthly retainer to be discussed after successful launch based on performance

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.

Review CV and cover letter for Mental Health clinician role

I want to apply for a Mental Health clinician role and I have an up-to-date CV and cover letter, I would like someone to review it to see if it can be improved and to check the grammar. Also, for the role, I have 2 short questions that would like someone to review the answers to.