Professional Overview
I’m an AI engineer based in Yangon, Myanmar, and for about three years I’ve been building LLM products that run in production. My main project is Omni Exam AI, a live exam platform for hiring teams and training schools that I lead. It runs on a four-agent LangGraph pipeline with RAG, and I built everything around it too: the FastAPI back end, the React front end, the cloud deployment and the automated tests. I work mostly in Python and TypeScript, with LangChain, LangGraph and LlamaIndex, on AWS (including Bedrock) and Google Cloud. I care about knowing whether an AI feature actually works, so I run DeepEval and RAGAS checks in CI and keep an eye on quality, latency and token cost once things are live. I use Claude Code and Antigravity every day, and I read and test what they write before it ships. I’ve worked remotely throughout my career, I’m comfortable with Dubai, Asian and European time zones, and I speak English and Japanese (JLPT N3). I’m open to full-time or contract roles.
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
AI Product & Strategy
Translate AI capabilities into product roadmaps, define success metrics, and drive adoption across engineering and business teams.
