Bridging Finance, Artificial Intelligence, and Software Engineering to build tomorrow's decision engines.
Click any card to dive into the project — each one comes with a live interactive visualization of its core algorithm.
Autonomous predictive engine on Snowflake DB, processing 24M+ sales rows via optimised SQL. Monte Carlo risk scenarios, M&A intelligence (GERS · Infogreffe · Orbis) — confidence intervals delivered to executive committees.
Pricing engine built around Monte Carlo simulation and the Black-Scholes framework. Quantile regression layer for actionable confidence intervals.
Assembly-line tasks dispatched across machines and grouped into time-bounded cycles. DFS with backtracking under three constraints: precedence, exclusion, and per-cycle time.
The Lyapunov exponent as a market thermometer: when chaos rises, an ML layer cuts exposure before drawdowns. Systematic protection in high-volatility regimes.
End-to-end pipeline: scrape company data, auto-generate charts and tables in a Word report, and request competitor analysis on demand via LLM API.
Classic terminal snake game built in pure C. A live playable version waits just below ↓
Procedural maze generation with pathfinding. Player navigates through algorithmically built labyrinths.
Multi-game application with several mini-games. Event handling, state machines and game loop architecture.
Originally coded in C, rebuilt for the browser.
Arrow keys · WASD · or tap buttons above
Run, jump, and head-bump the floating blocks to unlock my stack. Each block releases a real skill with a description of how I use it. Use ← → and Space, or let it auto-run.
Open to roles in engineering and finance — internships and full-time.