Chris

Samuel

Quant Developer & Systems Engineer with strong expertise in high-performance software, quantitative trading engines, and Web3 infrastructure. Specialized in translating quantitative strategies (market-making models, inventory skew control, VaR risk tracking) into low-latency production software using C++20, Python, Solidity, and modern Web architectures. Core Technical Competencies: • Quantitative & Trading Systems: Market-making engine architecture (Avellaneda-Stoikov), L2 order book telemetry, adverse selection mitigation, and real-time PnL/risk tracking. • Low-Latency & Systems: High-performance C++20 core logic, inter-process communication (IPC), and real-time WebSockets streaming. • Full-Stack & Web3: High-density React/TypeScript dashboards, Node.js/Express APIs, Docker containerization, and EVM Solidity smart contracts. • Tooling & Environment: C++, Python, JavaScript/TypeScript, SQL, Docker, Git/GitHub, Linux/Terminal environments. Open for quantitative developer contracts.