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I design, train and deploy AI experiences that feel fast, useful and production-ready. From LLM agents to MLOps platforms, every interface is backed by measurable intelligence.
About
Bridging research and product with production discipline.
I am an AI engineer who turns ambiguous ideas into shipped systems. I have spent the last 1 years building LLM applications, computer-vision pipelines and MLOps platforms for startups and scale-ups. Besides, I have also worked as a Backend Engineer and Data Engineer.
Clarity first
Complex models are useless unless the product around them is understandable.
Reliability by design
Guardrails, evals and observability are built in from day one, not bolted on.
Fast iteration
Rapid prototypes with measurable feedback loops keep teams moving and learning.
Outcome obsessed
Every feature is traced to a business metric: latency, accuracy, revenue or retention.
From notebook to production traffic.
My work sits at the intersection of machine-learning research, software engineering and product design. I enjoy the full arc: framing the problem, collecting signal, training or fine-tuning models, building the serving layer, and refining the UX until users trust it.
Whether it is a retrieval-augmented agent, a real-time vision pipeline, or a forecasting service, I ship systems that teams can depend on.
Skills
A toolkit built for end-to-end AI product delivery.
Deep expertise where models meet infrastructure, interfaces and measurable outcomes.
AI & Machine Learning
Engineering & MLOps
Product & Data
Selected Work
Production AI with a polished product surface.
Case studies combine robust model engineering, clear UX and measurable outcomes for real teams.
Multi-Agent Conversational Sales Copilot with Hybrid GraphRAG
A multi-agent conversational sales copilot that allows users to interact with the system through a voice interface. It is a copilot that transcribes the user's voice to text, then uses the text to generate a response.
Experience
A track record of shipping AI at scale.
Roles that required both deep technical ownership and cross-functional product leadership.
2022 — 2026
Student
Saigon UniversityI'm an IT engineer specializing in Artificial Intelligence from Saigon University (SGU). With the discipline of a Bodybuilder 🏋️ and the sharp mindset of a Crypto Trader 📈, I approach code and data architecture with a focus on performance and optimization.
- AI Engineer
- Data Engineer
- Backend Engineer
Blog
Notes on building with AI.
Practical write-ups on agents, evaluation, infrastructure and product design.
RAG beyond retrieval: designing agents that actually know when to act
Why retrieval is only half the battle, and how planning, tool use and self-evaluation make agents trustworthy.
Evaluating LLM agents: a practical framework for product teams
From unit tests to human-in-the-loop ratings: a layered approach to measuring agent quality in production.
MLOps for small teams: staying lean without cutting corners
The minimum viable tooling stack for versioning, monitoring and deploying models with confidence.
Contact
Have a model, dataset or product idea ready to become real?
Tell me what you are building and I will get back to you within two business days.