Build useful things
Prototype fast, test with real workflows, and keep the product goal visible.
Technical Profile
AI engineer from Vietnam.
I am Huynh Cao Tuan Kiet, a Computer Science student in Ho Chi Minh City focused on AI systems, product engineering, and deep learning for perception.
Who I Am
I like turning technical ideas into working systems.
My work sits between AI research, software engineering, and product taste. I care about systems that are useful, understandable, and fast enough to survive outside a demo.
Explain the system
Good engineering includes clear reasoning, tradeoffs, and technical writing.
Compound in public
Projects, notes, and research create public proof of intelligence over time.
Techstack
Tools and research areas I work with.
AI Engineering
LLM agents, RAG, LLM evaluation, Speech Recognition, PyTorch, Scikit-learn, NumPy, OpenAI APIs.
Software Engineering
Next.js, React, FastAPI, REST APIs, TypeScript, JavaScript, Tailwind CSS, PostgreSQL, MongoDB, SQLite, Docker, Azure.
Research Areas
Computer Vision, Multi-Agent Systems, Reinforcement Learning, LiDAR semantic segmentation.
Timeline
How the things flow.
Started Computer Science at HCMUS
Began the Computer Science at University of Science, VNU-HCM, VietNam
Built the software engineering base
Expanded from coursework into databases, web development, machine learning fundamentals, and practical team projects.
Research and academic competitions
Deepened work in NLP, computer vision, graph neural networks, and competition-driven problem solving.
AI Engineer Intern, Neurond AI
Designed and developed internal AI chatbot systems with OpenAI APIs, AI SDK, MongoDB, Azure, agents, voice prototypes, and evaluation pipelines.
Public AI systems portfolio
Publishing technical notes, interactive writing, AI product work, and research on real-time LiDAR semantic segmentation.
Expected graduation
Expected to graduate from HCMUS with a Computer Science degree, with thesis work focused on efficient LiDAR semantic segmentation.
