About Me

I'm an AI engineer based in Ho Chi Minh City, specializing in LLM applications, agentic RAG, and multimodal document intelligence. I work across the full lifecycle—from data preparation and model adaptation to retrieval, evaluation, observability, and deployment—to turn research ideas into usable systems.

I value measurable improvements, reproducible experiments, and explicit control over data, model behavior, and cost. Alongside my engineering work, I'm pursuing a Master of Computer Science at the University of Information Technology, VNU-HCM.

What I'm Doing

LLM & Agentic Systems

I design stateful LLM workflows with routing, tool use, structured outputs, observability, and recovery paths so agent behavior can be inspected and improved.

Retrieval & Grounding

I build hybrid sparse-dense retrieval, reranking, citation grounding, and evaluation pipelines for domain-specific RAG systems.

Multimodal Document AI

I train and integrate OCR, vision-language models, layout analysis, and computer vision pipelines that turn complex documents and images into reliable structured data.

Applied AI Engineering

I take models from experiment to product through reproducible training, FastAPI services, local or GPU inference, and human-in-the-loop review workflows.