About
I'm a final-year MEng Engineering student at the University of Cambridge (Downing College), graduating in 2026. My master's research focuses on Bayesian inference for non-linear state-space models.
I've interned in quant trading at Da Vinci Derivatives and in data science roles involving satellite imagery, computer vision, and epidemiological analysis. I'm passionate about building things at the intersection of maths, code, and real-world data.
Experience
Quant Trading Intern
Da Vinci Derivatives
- Designed a mid-frequency trading strategy on crypto assets using PCA
- Traded volatility gaps between Nvidia and QQQ options
Data Science Intern
Galeio
- Built vector databases from satellite imagery using Meta's DINOv2 embeddings
- Achieved one-shot object detection via cosine similarity search
- Developed annotation software with Meta's SAM, doubling annotation speed
Data Science Intern
Desbrest Institute of Epidemiology and Public Health
- Automated pulmonary health analysis from exhaled gases using R
- Applied PCA, clustering, and Lasso regression for patient classification
Engineering Intern
Agro-Oleum Ingenieria S.L.
- Collaborated on warehouse production and development
- Designed plans using AutoCAD and modelling software
Honors & Awards
Projects
Algotrade Hackathon — Negative Eevee
Won 1st place and €5,000 prize money. Built an algorithmic trading strategy that outperformed all other teams.
View on GitHub →Cambridge Robotics Competition
Built a delivery robot from raw materials. Programmed an Arduino with sensors, control systems, and path-finding algorithms.
View on GitHub →Slops Leaderboard
Built a spending leaderboard for my Cambridge college, tracking and ranking student expenditures.
Visit site →