Senior-level Software and Application Developer passionate about creating cutting-edge products for the field. Strong work ethic, and dedicated to creating data-reactive architect-type applications. Adept at working with teams or independently in fast-paced settings.
* Architected and engineered a full-stack, AI-driven blackjack strategy companion using a React frontend, Django/Python
backend, and a PostgreSQL database.
* Designed and implemented a real-time decision analysis engine that delivers optimal, mathematically-derived blackjack
strategy recommendations instantly.
* Built an advanced Hi-Lo card counting system featuring real-time running and true count calculations to identify and
capitalize on favorable game conditions.
* Optimized strategy delivery by pre-computing over 340 unique blackjack scenarios from 28+ hours of simulations, ensuring
millisecond-level response times.
* Developed a robust Django REST API to serve complex strategic advice, manage multi-deck game state, and track user
performance analytics.
* Implemented a sophisticated historical hand analysis system using FAISS and pgvector for high-speed semantic search and
pattern recognition within game data.
* Constructed a dynamic and responsive React frontend that provides a live-updating user interface through WebSocket
integration for real-time game tracking.
* Integrated multiple Large Language Models (e.g., Gemini) to provide users with AI-synthesized, comprehensive analysis and
actionable insights beyond basic strategy.
* Ensured application portability and streamlined deployment by containerizing the entire full-stack application using
Docker and Docker Compose.
* Authored a comprehensive test suite to validate the mathematical precision and reliability of the core strategy and card
counting engines.