I build systems that work when real users show up.
AI Engineer specializing in LLM Agents, RAG, and production AI infrastructure.
Experienced in designing multi-agent systems, highly available AI services, retrieval pipelines, and cloud-native ML infrastructure using LangGraph, Kubernetes, Redis, PostgreSQL, GCP, and Terraform.
Strong focus on building reliable AI products from prototype to production, including Agent optimization, observability, failover, inference optimization, and evaluation.
Capabilities
/01 LLMs & Agents
- LangChain
- LangGraph
- LangSmith
- vLLM
- LiteLLM
- RAG
- GoClaw
/02 Computer Vision
- YOLO
- DeepStream
- RetinaFace
- ArcFace
- CLIP
- ONNX / TensorRT
/03 MLOps & Cloud
- GCP
- Kubernetes
- Docker
- Terraform
- GitLab CI/CD
- Prometheus / Grafana
/04 Data & Backend
- Python
- FastAPI
- Kafka
- Spark
- PostgreSQL
- Milvus / Qdrant
- Redis
Experience
Vin Dynamics
Building AI agent systems for robots — integrating LLMs and multi-agent architectures for autonomous perception, reasoning, and task execution.
Savvycom Solution JSC
Led a small AI team across production projects: enterprise agents, eKYC, real-time video analytics, and multi-agent SDLC tooling.
1BitLab Technology
Built RAG systems with LangChain, Streamlit and FastAPI on GCP; applied OCR pipelines for document understanding.
Awards
Vibe Code Hackathon @ Savvycom — Champion
1st place in Savvycom's internal AI / vibe-coding hackathon — shipped an end-to-end product using AI-assisted development.
HCMC AI Challenge — Top 10
Multi-user Vietnamese news-video search engine built with CLIP ViT-B/32 and Streamlit.
VFOSSA Open Source Contest — 1st Prize
RAG-based question-answering system for legal consulting, at the university-level open-source contest.
National Student Informatics Olympiad — Consolation
Represented Hanoi University of Industry; built a Langflow RAG model for healthcare within SOS Connect.
Want to build something?
Open to freelance, consulting, and remote AI engineering work.