Phawat

Projects

A curated set of builds across finance, data, and product engineering. I care about clarity, real impact, and shipping.

U.S. Bank Capital Research (2000-2025)

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

Capital Compass

2025

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

Worklaunch

2025

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

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.

Tech stack: Next.js / TypeScript / Tailwind CSS / Payload CMS / PostgreSQL / AWS S3 / Fly.io

Property Video Pipeline

2025

Automated video pipeline that turns static property photos into cinematic video tours with parallax effects and smooth transitions.

Tech stack: Next.js / FFmpeg / Node.js / Depth Estimation / WebCodecs

IMC Trading Challenge Bots

2025

Implemented rule based and statistical strategies for simulated products, balancing inventory risk and PnL.

Tech stack: Python / Pandas / Backtesting framework

Kitchen Intelligence

2025

Collective Kitchen OS is an AI powered meal planning system that adapts to real households. It combines nutrition goals, ingredient costs, kitchen equipment, local availability, and personal food preferences to generate optimised weekly meal plans and grocery lists.

Tech stack: React / TypeScript / Tailwind / FastAPI / Python / PostgreSQL / SQLAlchemy

Stock Valuation Platform

2025

Valuation platform that helps investors assess stocks using DCF, DDM, and Market Multiples, with ML-based forecasts and risk diagnostics.

Tech stack: Python / Machine Learning / Financial Modelling