BS Information Technology student building full-stack apps with AI at the core — voice, automation, and cloud-backed tools. I like taking a project from "what if" to a live deployed link.

• IT student focused on full-stack development, automation, and cloud infrastructure
• Currently building with LLM APIs (Groq, Anthropic) — voice interfaces, document processing, agentic tools
• Comfortable across the stack: vanilla JS front-ends, serverless back-ends (Netlify/Vercel), API integration
• Always shipping something — every project starts as a "let's see if this works" weekend build

A turn-based, two-person AI translator that lets two people hold a real-time conversation across language barriers using a single phone. Built collaboratively with @chzn-ichi.

• Stack: JavaScript · Groq API (Llama 3.3 70B) · Web Speech API · Netlify Functions
• Highlights: State-machine architecture, secure server-side API key handling, ~70 language support with live speech recognition
• 🔗 Live demo

Converts documents into narrated audio with an interactive quiz mode for active recall.

• Stack: JavaScript · Groq LLM backend · Web Speech API · Vercel
• Highlights: End-to-end pipeline from raw document to audio + auto-generated comprehension quiz
• 🔗 Live demo

APIs & Tools: Groq API · Anthropic API · Web Speech API · REST APIs

_{Currently studying for the Philippine Civil Service Exam (Professional Level) alongside coursework — building toward a career that blends software development and public-sector impact.}