Phawat

Finance × Computer Science

Building cool, analytical productswhere code, markets, and AI meet.

Most of my focus is on three highlighted projects: Capital Compass (quant and beta forecasting), WorkLaunch (AI career intelligence), and the AUCC website rebuild (real users, real content, production-quality engineering).

Quant & trading systemsAI and LLM toolsValuation & finance

Snapshot

Turning messy data into usable decisions.

Trading bots, multi-horizon stock forecasts, and a career engine that maps resumes to 13,000+ occupations using embeddings and skill graphs.

Focus

AI, markets, product thinking

Strengths

Systems, clarity, iteration

What I am building now

Most of my focus is on three highlighted projects: Capital Compass (quant and beta forecasting), WorkLaunch (AI career intelligence), and the AUCC website rebuild (real users, real content, production-quality engineering).

Skills & career intelligence

Mapping resumes to skills graphs and occupations so people can see practical next steps, not vague advice.

Highlighted projects

View all projects

These cards cover Capital Compass, the AUCC rebuild, and the valuation platform in more detail. The rest of the projects page shows supporting experiments and earlier work.

Capital Compass

2025

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

WorkLaunch

2025

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

AUCC Website

2025

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

Life outside work

See Life OS

The way I cook, invest, and build community is connected to how I design products: simple systems, clear constraints, and small improvements over time.

Food & cooking

High-protein meals, simple staples, and occasional experiments that make cooking feel like a creative outlet.

Investing & trading

Macro, equities, and crypto, tested through small deliberate bets and clear risk rules.

Relationships & community

AUCC, friends, and family, with rituals that keep me grounded while I push on ambitious projects.

Signals that matter

I care less about buzzwords and more about whether a tool actually improves decisions and outcomes.

Focus

AI, markets, product thinking

Strengths

Systems, clarity, iteration

Open to opportunities

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