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StarRayX/README.md

I build small, real things fast — usually with a hackathon deadline attached. Recent work spans fintech notification parsing, healthcare triage systems, and ML risk scoring.

Python TypeScript JavaScript Dart C++
React Flutter NumPy pandas scikit--learn

Projects

Healthcare triage and appointment system for the Philippine public healthcare system — AI symptom triage, government SSO, biometric ID verification, blockchain-anchored records. Lead developer · 1 of 10 winning teams, eGovPH Hackathon 2026. React Node.js Solidity Redis

Penny — AI-Powered Financial Barrier App

Parses GCash, Shopee, and bank notifications in real time into a live "safe-to-spend" balance, using the Claude API to auto-classify transactions. Finalist, Hack it UP (UP Manila hackathon) — targeting the gap where only 2% of Filipino adults pass basic financial literacy questions. Python Flutter Claude API

Gamified learning platform using the Gemini API to generate quiz content at scale. Shipped end-to-end with a cross-functional team in 48 hours. 1st Runner-Up, TECHATHLON 2026. React TypeScript Gemini API

NASA Asteroid Threat Prediction System

Impact risk scoring model built on NASA orbital parameter data — feature engineering, a full preprocessing pipeline, and precision/recall/F1 evaluation against threat level classification. Python scikit-learn pandas

md2pdf

CLI Markdown-to-PDF converter with a hand-written tokenizer, parser, and document tree, backed by a pytest test suite. Python pytest

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Contact

cspagaduan@up.edu.ph

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