Agentic AI & Context Engineering
Agents, internal copilots and workflow automation, built on tool calling and curated context.
AI engineer at HPT. My chatbot answered 850+ questions in one day at HPT D-DAY 2025.
I'm Vo Phu Thinh (Võ Phú Thịnh), an AI engineer in Ho Chi Minh City, working at HPT Vietnam Corporation in the AI Center of Excellence. I build chatbots and assistants that answer from a company's own documents.
Most of my work is RAG with Qdrant, tool calling through MCP, and voice or text chat over WebSockets. I spend as much time on retrieval, chunking and testing as on the model.
mem0. 2nd prize at HPT's Enterprise AI Competition.
I'm open to AI engineer roles where I can own a project from prototype to production.
Website: vophuthinh.com
Phone: +84 86 8639 882
City: Ho Chi Minh City
Email: vophuthinhcm@gmail.com
Bachelor of Information Technology (Joint International Program)
Intensive English Language Mobility Programme
Full Stack Web Developer Professional Certificate
AI Engineer
Software Solutions Engineer
AI Engineer Intern
Website Management Support
Pick a trace and watch the pipeline route, retrieve, verify, or refuse.
Steps appear here when you run the pipeline.
Click "Execute Pipeline" to trigger the Agentic workflow...
Simulates API spend with Semantic Caching (Qdrant), Context Pruning (Reranker) and Self-hosted vLLM versus calling cloud frontier models directly.
Cost per 1,000 queries: $15.00 $3.00
Illustrative model: assumes $2.50 / $10.00 per 1M input / output tokens for the cloud baseline, 28% cache hits, 55% context pruned and 70% local routing. Not measured production data.
Agents, context pipelines and inference cost, mostly for company use cases.
Agents, internal copilots and workflow automation, built on tool calling and curated context.
Python, APIs and databases behind the AI work.
What I use to train and evaluate models.
Cloud, containers and Git for getting things deployed.
What I learned in the courses behind the Frontier badge.
Tools I have used less, but can pick up when a project needs them.
Learning now: running models on my own hardware and serving them faster.
Whether it's a job opportunity, a collaboration, or just a question, I'd love to hear from you.
I typically reply within 24 hours.