U.S. Bank Capital Research (2000-2025)
Built a research-grade data pipeline for U.S. commercial banks to study capital structure and cost of capital.
Tech stack: Python / FDIC API / SEC EDGAR / OCR / Pandas / PDF extraction / Financial data QA

A curated set of builds across finance, data, and product engineering. I care about clarity, real impact, and shipping.
Built a research-grade data pipeline for U.S. commercial banks to study capital structure and cost of capital.
Tech stack: Python / FDIC API / SEC EDGAR / OCR / Pandas / PDF extraction / Financial data QA

A full-stack equity research platform that turns historical market data into statistically validated return forecasts and interpretable insights.
Tech stack: Python / Django REST Framework / PostgreSQL / Next.js / React / TypeScript

Matches candidates to roles across 3,000+ occupations using structured skill extraction and semantic search. Confidential build under a paid contract.
Tech stack: Python / REST APIs / NLP / PostgreSQL / Embeddings

A modern, content-managed website for the Auckland University Canoe Club, built with Next.js 15 and Payload CMS. Developed by WDCC in 2025.
Tech stack: Next.js / TypeScript / Tailwind CSS / Payload CMS / PostgreSQL / AWS S3 / Fly.io

Built a trading algorithm for Algothon 2025 — a multi-stage competition organised by UNSW FinTech Society and Susquehanna International Group, competing against teams across Australia for prizes up to $5,000.
Tech stack: Python / Pandas / Backtesting framework
