I build AI-powered products that solve real problems, from idea to production.

I like building software where AI is part of the product, not just a feature added at the end. My work spans full-stack applications, mobile experiences, OCR pipelines, LLM integrations, REST APIs, automated publishing systems, and production deployment.

Camera → OCR → AI analysis → understandable results

IngRyn combines Google ML Kit OCR with the Gemini API to extract and analyze ingredient information. Supabase handles authentication, storage, and persistent scan history.

Engineering highlights: OCR pipeline · LLM inference · Supabase persistence · scan history

Built with React Native Expo Supabase Google ML Kit Gemini API

→ View Repository

AutoBrief automatically collects news, processes content with LLMs, and produces SEO-ready articles through an automated publishing workflow.

The engineering focus includes RSS ingestion, resilient AI workflows, API key rotation, retries, failover, server-side rendering, caching, SEO, and GitHub Actions automation.

Engineering highlights: RSS ingestion · LLM generation · retry/failover · automated publishing

Built with Next.js Node.js Grok API GitHub Actions RSS SEO

→ Repository  ·   → Live Application

A personal engineering portfolio designed around projects, capabilities, and a product-style presentation.

Engineering highlights: responsive UI · project storytelling · visual systems · production deployment

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_{LANGUAGES · JavaScript · Python · HTML5 · CSS3 · C}

_{FRONTEND · React · Next.js · React Native · Expo · Bootstrap}

_{BACKEND & APIs · Node.js · Express · Google Apps Script · REST APIs}

_{DATA · Supabase · Firebase · MySQL}

_{AI · Gemini API · Google ML Kit OCR · LLM Integration · Prompt Engineering}

_{DELIVERY & TOOLING · Git · GitHub · GitHub Actions · Vercel · Netlify · VS Code · Chrome DevTools}