AI Engineer & Full-Stack Developer | LLM Integration · RAG · Workflow Automation · React · Node.js · Python
I build AI features that actually ship — not demos. Two years of full-stack experience means I handle the unglamorous half: auth, database, deployment, error handling, and keeping your token costs from quietly destroying your margins.
AI & Automation
• LLM app development — Huggingface, Gemini
• RAG pipelines, vector search, embeddings — pgVector
• Prompt engineering & token cost optimization
• AI agents and tool use —MCP / LangChain
• Workflow automation — n8n / ActivePieces, API orchestration
• AI feature integration into existing products
Full-Stack (how it gets to production)
• Front-end: React, Next.js, TypeScript, Tailwind CSS
• Back-end: Node.js, Express, Python, FastAPI, REST APIs
• Database: PostgreSQL
• Infra: Git, Docker, AWS, CI/CD
Proof
• Software Development ----------- — shipped token-optimization features that cut LLM inference costs, plus financial system integration
• Finalist, ASEAN AI Hackathon — top 16 of 250 teams
• 1st Runner-Up, CodeChum National Coding Competition
• Community Development Officer, Google Developer Groups on Campus (CIT) — led events for 100+ developers
Competitive programming background: I write efficient code and debug fast. Agile leadership background: I communicate clearly, hit deadlines, and don't need hand-holding.
Best fit for: LLM/chatbot development, RAG systems, AI-powered MVPs, automating manual workflows, adding AI to an existing app.
Send me your project details and I'll tell you honestly whether I'm the right fit — including if I'm not.
