┌────────────────────────────── MARKET MAKING LIVE STRATEGY ─────────────────────────────────┐ │ │ │ BTC/USDT mid: 104,238.50 spread: 2.40 inventory: neutral │ │ │ │ ASK │ │ 104,242.0 3.42 BTC ████████████████ │ │ 104,240.8 2.65 BTC ← ask ████████████ │ │ 104,239.7 1.81 BTC ████████ │ │ │ │ fair value ───────────────────── 104,238.5 ───────────────────── │ │ │ │ BID │ │ 104,237.3 2.08 BTC ← bid █████████ │ │ 104,236.1 2.94 BTC █████████████ │ │ 104,234.9 3.71 BTC ████████████████ │ │ │ │ depth bid: 8.73 BTC depth ask: 7.88 BTC imbalance: +0.05 microprice: 104,238.56 │ │ queue pos: 34% markout 5s: +0.8 bps fill prob: 41% adverse select: low │ │ │ └────────────────────────────────────────────────────────────────────────────────────────────┘
I am a quantitative research and engineering student focused on the practical side of financial markets: how prices form, how liquidity moves, and how trading systems behave under real execution constraints.
- MSc in Financial Engineering at Paris Dauphine-PSL
- Engineering degree in Computer Science & Machine Learning from EPF Graduate School of Engineering
- Interested in market microstructure, systematic trading, crypto markets, DeFi, and derivatives pricing
- I build tools that go beyond notebooks: live market-data dashboards, execution-aware backtests, pricing engines, and research workflows
Python · Streamlit · WebSocket · Order Book Analytics
Live BTC/USDT dashboard with simulated market-making logic, queue-aware quoting, markout analytics, volatility controls and PnL tracking.
Live demo
Python · FastAPI · WebSocket · SQLite · Paper Trading
Multi-exchange crypto data router and paper-trading API normalizing Binance and OKX feeds into a unified execution layer.
Live demo
Python · NumPy · Streamlit · Longstaff-Schwartz · Greeks
Interactive option pricer with Monte Carlo simulation, American exercise, variance reduction, Greeks and Black-Scholes benchmarks.
Live demo
Python · Econometrics · MIDAS · Time Series
Mixed-frequency GDP nowcasting project using daily financial variables, lag/lead dynamics and out-of-sample evaluation.
|
Languages
Python · C++ · C# · SQL
|
Research
NumPy · pandas · SciPy · statsmodels
|
Machine Learning
scikit-learn · PyTorch
|
Engineering
FastAPI · Streamlit · Docker · Git
|
Market microstructure · Order books · Execution-aware backtesting · Monte Carlo pricing · Crypto / DeFi




