MEng Design Engineering @ Imperial College London · Interested in the intersection of engineering, finance, data science and sport · London
First-class in Year 1 (Dean's List) and part of Imperial's 1st XI. Currently a Data Science Intern at Turnleaf Analytics in London, applying machine learning to macro forecasting; previously a Product Engineering Intern at Tewke, building smart-home hardware. Visiting undergraduate at Stanford, summer 2026.
T20 cricket analytics platform built around CAIS, a context-adjusted impact score that re-prices every ball by match phase, pressure, opponent quality and match stage.
Trading platform for Deribit BTC options — SVI volatility-surface fitting with risk, P&L, backtesting and automated delta-hedging.
Athlete brand-equity marketplace where fans trade shares in athletes around an engine-suggested fair value — Stanford ENGR145S venture project; I led the algorithm design.
PrizePicks-style player-props game for World Cup 2026 — call More or Less on player stat lines and climb the leaderboard. Play the live demo
Gesture-controlled cooking assistant robot — MediaPipe hand tracking, ESP32 firmware, a React control app and a Fusion 360 casing. Imperial DE1 group project (Human Centred Design).
Built from scratch on a Raspberry Pi Pico — Fusion 360 enclosure, soldered PCB and MicroPython games. Breadboard prototype → CAD → finished console:
Also on this profile: MAG-7 ETF stat-arb backtest · ClearVote (Claude hackathon build) · heart-disease prediction ML
Python (pandas, scikit-learn, PyTorch) · JavaScript/React · MATLAB · Fusion 360 · ESP32/embedded