Open to AI engineer roles • HPT Vietnam, AI CoE

I build AI agents
that run in production

AI engineer at HPT. My chatbot answered 850+ questions in one day at HPT D-DAY 2025.

Download CV
Vo Phu Thinh - AI Engineer

About Me

What I work on

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.

Highlights

  • Lyly, an executive AI assistant: voice and text over WebSockets, hybrid search in Qdrant, memory with mem0. 2nd prize at HPT's Enterprise AI Competition.
  • HPT D-DAY 2025 chatbot: answered 850+ attendee questions in one day at Pullman Hanoi, using the official event data.
  • HIH ("Sóc Dò La"): a pipeline that summarizes industry news and posts it to Viva Engage. 8,500+ impressions, 3rd prize.
  • Copilot and automation: prompt and grounding work for Microsoft Copilot, plus 10+ workflows in n8n and Power Platform that cut manual work by about 60%.

I'm open to AI engineer roles where I can own a project from prototype to production.

Vo Phu Thinh - AI Engineer
3 AI Products
3 Awards Won
850+ Q&A / Day

Website: vophuthinh.com

Phone: +84 86 8639 882

City: Ho Chi Minh City

Email: vophuthinhcm@gmail.com

Education

2021 - 2025

HUTECH & Open University Malaysia (OUM)

Bachelor of Information Technology (Joint International Program)

Jul 2023 - Aug 2023

Universiti Malaysia Sarawak (UNIMAS)

Intensive English Language Mobility Programme

Mar 2022 - Aug 2023

Ironhack Vietnam

Full Stack Web Developer Professional Certificate

Experience

Nov 2024 - Present

HPT Vietnam Corporation - AI Center of Excellence (CoE)

AI Engineer

  • Architected "Lyly" (Executive AI Assistant): Designed a multimodal system for real-time voice and text interaction, winning 2nd prize for technical innovation and low-latency response.
  • Engineered End-to-End Vector Pipelines: Developed automated workflows for strategic chunking and embedding, significantly enhancing semantic retrieval for enterprise knowledge management.
  • Orchestrated HPT D-Day 2025 RAG Chatbot: Deployed a high-accuracy RAG system providing real-time, consistent answers for event agenda, venue, registration, and speakers (850+ Q&A handled).
  • Optimized LLM Reliability in Microsoft Copilot: Implemented advanced prompt engineering and grounding strategies to mitigate hallucinations and ensure reliable outputs for business-critical workflows.
  • Co-developed HIH (HotNews Intelligence Hub): Built an automated intelligence system featuring "Sóc Dò La" for news vectorization and summarization (8,500+ views, won 3rd prize).
Python FastAPI Agentic RAG LangChain OpenAI Qdrant mem0 Next.js

Apr 2025 - Oct 2025

HPT Vietnam Corporation

Software Solutions Engineer

  • Built 10+ automation workflows using n8n, Power Platform, and UiPath, cutting manual reporting and operational time by ~60%.
  • Integrated AI into enterprise solutions, enabling automated document processing and structured information extraction for internal teams.
n8n Power Platform UiPath Python SQL

Nov 2024 - Apr 2025

HPT Vietnam Corporation

AI Engineer Intern

  • Researched RAG techniques and prototyped enterprise Q&A assistants that later evolved into the D-DAY 2025 AI system.
  • Promoted to full-time after 6 months - the fastest intern-to-engineer track in the team.
Python GPT-4o RAG n8n JavaScript

Mar 2023 - Oct 2023

Institute of Smart City and Management (ISCM - UEH)

Website Management Support

  • Managed and maintained organizational website content, SEO, and web performance analytics.
WordPress SEO Google Analytics

Featured Projects

AI Tech Lab • Agent & RAG Simulator

Pick a trace and watch the pipeline route, retrieve, verify, or refuse.

AGENTIC EXECUTION ENVIRONMENT
Preset Traces:
Total Latency 0ms
TTFT ...
Throughput 0 t/s
Hallucination Target 0.0%
Pipeline Step Trace

Steps appear here when you run the pipeline.

Verified Output Stream GROUNDED OUTPUT
Click "Execute Pipeline" to trigger the Agentic workflow...
INFERENCE RUN RECEIPT (SIMULATED)
TRACE #HPT-RAG-2026-01
Pipeline Architecture Agentic RAG + HyDE + BGE Reranker-Large
Safety / Hallucination Target ANSWER GROUNDED IN SOURCES
Compute Cost Burn -480 TOKENS
Target Latency (P99) < 260ms (simulated)
Execution Environment Enterprise Sandbox // Qdrant + Azure OpenAI

Enterprise LLM Cost & ROI Calculator

Simulates API spend with Semantic Caching (Qdrant), Context Pruning (Reranker) and Self-hosted vLLM versus calling cloud frontier models directly.

Traffic Presets:
15,000 queries / day
1,000 25,000 50,000 80,000+
4,000 tokens / query
1,000 (Short) 4,000 (RAG) 8,000 (Docs) 16,000 (Legal/PDF)
Optimization levers
ESTIMATED MONTHLY SAVINGS
$5,400 / month
-80% COST Saves $64,800 / year
Cloud frontier baseline $6,750 / month
+ Semantic caching
+ Context pruning
+ Hybrid routing = this architecture $1,350 / month

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.

Skills

I build AI systems that make it past the prototype stage.

Agents, context pipelines and inference cost, mostly for company use cases.

Core delivery AI agents, context engineering, LLM apps
How I ship APIs, orchestration, automation
Exploring next Local inference, vLLM, Kubernetes
Daily stack

Backend & Data Foundations

Python, APIs and databases behind the AI work.

Python
FastAPI
NumPy
Pandas
SQL
MySQL
SQL Server
Power BI
Applied

Modeling & Evaluation

What I use to train and evaluate models.

scikit-learn
PyTorch
TensorFlow
NLP
Feature Eng.
Model Deploy
CNN
Transformers
Computer Vision
Fine-Tuning
NN Training
Working knowledge

Platform & Shipping

Cloud, containers and Git for getting things deployed.

AWS
Google Cloud
Azure
Docker
Git
GitHub
Linux
GH-300 - AI-103 - AB-100

Microsoft & GitHub Course Skills

What I learned in the courses behind the Frontier badge.

GH-300: GitHub Copilot
GitHub Copilot
Copilot Chat
Prompt Crafting
Copilot Security
AI-103: Develop AI apps and agents on Azure
Azure AI Services
Azure AI Search
Azure AI Foundry
Azure AI Agents
AB-100: Agentic AI Business Solutions Architect
Copilot Studio
Power Platform
Agent 365
AI Governance
Frontier Transformation Engineer badge, Titan level, issued by Microsoft
Credential earned

Frontier Transformation Engineer

Issued by Microsoft to Phu Thinh Vo at Titan level, after completing GH-300, AI-103 and AB-100.

Support tools

Extended AI Stack

Tools I have used less, but can pick up when a project needs them.

Hugging Face
Claude
Gemini
LlamaIndex
CrewAI
Pydantic
MongoDB
Qdrant
mem0
In progress

Currently Leveling Up

Learning now: running models on my own hardware and serving them faster.

Ollama
vLLM
Kubernetes

Contact Me

Get In Touch

Whether it's a job opportunity, a collaboration, or just a question, I'd love to hear from you.

Phone

+84 86 8639 882

Location

Ho Chi Minh City

Email

vophuthinhcm@gmail.com

LinkedIn

in/vophuthinh

Send Me A Message

I typically reply within 24 hours.