
Capital Compass
2025Developed quantitative tools to forecast stock beta and mean reversion using ElasticNet models, featuring a web dashboard for signal exploration.
Python · Pandas · Scikit-learn · Next.js · Django · PostgreSQL
AI · Software · Quant
I build data-driven systems that turn noise into decisions. Recent work includes multi-horizon stock forecasting, a full-stack career intelligence engine, and the AUCC website.
Most of my focus is on three highlighted projects: Capital Compass (quant and beta forecasting), WorkLaunch (AI career intelligence), and the AUCC website (production-quality engineering).
Mapping resumes to skills graphs and occupations so people can see practical next steps, not vague advice.
These cards cover Capital Compass, the AUCC, and the valuation platform in more detail. The rest of the projects page shows supporting experiments and earlier work.

Developed quantitative tools to forecast stock beta and mean reversion using ElasticNet models, featuring a web dashboard for signal exploration.
Python · Pandas · Scikit-learn · Next.js · Django · PostgreSQL

Maps resume skills to ESCO occupations using embeddings to suggest career paths and highlight skill gaps. Confidential project, developed under a paid contract.
Python · Flask or FastAPI · NLP · PostgreSQL · Qdrant

A modern, content-managed website for the Auckland University Canoe Club, built with Next.js 15 and Payload CMS. Developed by WDCC in 2025.
Next.js · TypeScript · Tailwind CSS · Payload CMS · PostgreSQL · AWS S3 · Fly.io
I care most about signals that survive real-world friction. Users, markets, and constraints reveal what actually works.
Focus
AI, markets, product thinking
Strengths
Systems, clarity, iteration
I am interested in AI or ML Engineer roles, full stack product engineering, and quantitative or FinTech analyst roles.
Email me to discuss a role