I'm an Information Technology student in Vietnam, specializing in Artificial Intelligence. I enjoy taking ideas all the way from a model or agent workflow to a product people can actually use — with APIs, interfaces, tests, deployment and measurable behavior.
My current work sits at the intersection of agentic AI, computer vision and backend engineering. I am especially interested in AI/ML engineering roles where research thinking and solid software engineering matter equally.
| Agent orchestration, RAG, MCP integrations, vector search and practical LLM workflows that connect to real tools and data. | Video pipelines, face processing, physiological signal estimation and explainable vision-language experimentation. | FastAPI services, React interfaces, WebSockets, Docker and observability — built with usability and operations in mind. |
An AI engineering workspace that indexes legacy codebases into Qdrant, explains files, searches code semantically and turns change requests into BA/SA impact plans. It also exposes the knowledge base and file operations through an MCP server for coding agents.
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An end-to-end rPPG web app that estimates heart rate from webcam or uploaded face video. The MTTS-CSTM pipeline returns BPM, confidence, SNR and a PPG waveform, with runtime metrics exposed through REST and WebSocket APIs.
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MVP in progress. A Vietnam-focused carbon analytics product that maps construction BOQ spreadsheets to emission factors, evaluates what-if material substitutions and turns the result into decision-ready reports.
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A hands-on reliability lab for detecting silent data failures through contracts, dbt tests, anomaly detection, lineage, SLOs and incident response — because a pipeline marked “SUCCESS” can still produce wrong data.
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Also exploring explainable medical VQA, model serving, LLM evaluation, responsible AI and competitive programming.
| Languages | |
| AI & Vision |
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| Backend & Web | |
| Data & Infra |
If you're hiring for AI/ML engineering, computer vision or AI product roles, I'd be happy to connect.
