I lead a team that builds custom Machine Learning models for startups and established companies.

Recent projects include:

• LLM-powered Interview Tutor: mock coding interviews, featuring real-time voice and text interaction, built in Next.js using the OpenAI Realtime API. Deployed on Vercel and Pusher.
• AI-native Image Editor: consistent image generation in a visual interface built in Next.js. Deployed on Replicate and prototyped in ComfyUI using Stable Diffusion and ControlNet.
• Horse Race Betting Models: 18-month project modelling horse race probabilities for a Hong Kong betting syndicate. End-to-end pipelines built using custom PyTorch models and scikit-learn transformers.
• Handwritten Mathematical Expression Recogniser: built an online handwriting recognition system for mathematical expressions for a Hong Kong based startup, that generated LaTeX markup as output.

Product discovery website deployed on a cluster of AWS EC2 instances running web scrapers and custom Named Entity Recognisers. The system was used to identify and link 10,000+ products from news sources.

Note-taking application incubated through Entrepreneur First, a startup scheme for UK’s brightest graduates. Built the Ruby-on-Rails back-end, the jQuery bookmarklet and the PostgreSQL comment system.

Wrote a thesis on “Internet Auction Processes and Mechanisms” and served as a Teaching Assistant for two undergraduate subjects: Probability & Stochastic Processes and Traffic Theory & Queueing Systems.

Awarded First Class Honours, completing a dissertation on “Query by Humming”, a group project on “Temperature Mapping of the Lunar Surface” and electives in Algorithms, Databases, Logic and Probability.