Phawat

PhawatSaengsiripongpun

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.

Machine learning & LLMsQuant & trading systemsFull stack engineering

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 (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, and the valuation platform in more detail. The rest of the projects page shows supporting experiments and earlier work.

Capital Compass

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

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

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

Signals that matter

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

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