State College, Pennsylvania, United States
Built a full-stack simulation engine that tests product ideas against 30 AI-driven consumer personas across 8 behavioral archetypes, producing structured adoption and market insight reports. Developed a Python/FastAPI backend with a tick-based evaluation pipeline combining deterministic scoring models with bounded LLM qualitative reasoning Integrated Claude API (Haiku for NPC reactions, Sonnet for reports); optimized cost to under $0.15/simulation through request batching and model tiering Built a React/TypeScript frontend with real-time SSE streaming, interactive force-directed social graph, and in-character NPC chat Designed a variant comparison system for A/B testing product positioning with side-by-side metrics and AI-generated explanations
Built an automated cryptocurrency trading bot in Python with live Coinbase API integration (REST + WebSocket), executing real-time buy/sell orders across BTC and altcoin markets. Implemented multi-strategy execution engine with EMA crossover and trend-pullback strategies, auto-selecting based on live market regime and volatility Designed a risk management framework with 9 pre-trade gates including position limits, fee efficiency checks, loss-streak pauses, and daily loss caps Built a real-time web dashboard with SSE streaming, performance charts, trade history, and an AI copilot Wrote 38 unit tests covering strategy logic, risk gates, and order execution
Designed and built a DIY AI robot focused on affordability and modularity, targeting consumer-grade usability at a $30–40 production cost. Programmed core AI features in C++ and C on an ESP32-S3 MCU, integrating DACs, microphones, LVGL, GPIO, and I2C for real-time interaction Targeted $100 retail price with 60%+ gross margin; planned crowdfunding and web launch