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.
Closed-form analytical pricing complemented by Monte Carlo simulation for complex derivatives. Quantile regression for decision confidence intervals.
Car assembly modelled as a weighted directed graph. Dijkstra and network-flow algorithms minimise bottlenecks across the full production cycle.
Portfolio optimisation via strange attractors. Captures non-linear market regimes that classical Markowitz misses in high-volatility environments.
Retrieval-Augmented Generation for executive documents. Semantic chunking, embeddings and latent-space querying at scale.
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 quantitative finance roles, data science missions, and end-of-study internships.