Trieu Viet Hung
AI Engineer specializing in Computer Vision & MLOps
About Me
I am a performance-driven AI Engineer with over 3 years of experience specializing in Computer Vision and MLOps. I have a proven track record of developing and deploying real-time deep learning solutions for manufacturing and surveillance sectors.
I am proficient in the full ML lifecycle—from model training with PyTorch to orchestrating scalable deployments using Docker Swarm, NVIDIA DeepStream, and Linux infrastructure. I am adept at optimizing inference pipelines for edge devices and building robust backend services with FastAPI.
Hanoi, Vietnam
hungtrieu0701@gmail.com
Technical Skills
AI & Deep Learning
MLOps & Infrastructure
Languages & Backend
Work Experience
AI Engineer
AI Academy Vietnam
- Spearhead the development of end-to-end Computer Vision solutions for external clients, focusing on surveillance and automation.
- Optimize and fine-tune deep learning models for production, reducing inference latency and improving system stability on edge hardware.
- Deploy and maintain AI applications on Linux-based client infrastructure using Docker containers.
- Integrate third-party APIs and design microservices architectures to expand product capabilities.
Key Projects
AI / MLOps Pipeline
Architected an MLOps pipeline for the continuous training and automated fine-tuning of YOLO object detection models. Established automated feedback loops for edge-case data.
Intelligent Document Processing (IDP)
Engineered an automated OCR pipeline to digitize and index high volumes of scanned documents. Built a scalable FastAPI backend for concurrent file uploads.
Video Management System
Architected a comprehensive AI surveillance system implementing Fire/Smoke Detection, PPE Compliance, and Human Action Recognition.
Face Attendance System (FAIA)
Developed a mass attendance system for factories capable of recognizing 500+ employees using Milvus for rapid face matching and Anti-Spoofing algorithms.
Vehicle Detection System (VDS)
Built a traffic monitoring solution for highway surveillance, featuring vehicle counting, classification, and speed estimation.
Customs Declaration Extraction
Automated data entry from customs forms parsing unstructured text into structured JSON formats for database entry.
Education & Awards
Engineer’s Degree in Computer Science
Hanoi University of Civil Engineering
- GPA: 3.14/4 – Thesis: Information Extraction from Scanned Identity Documents using Deep Learning.
Let's Connect
I'm currently open to new opportunities