
Cuong is an AI Full-Stack Developer with over 8 years of experience, specializing in computer vision, image recognition, and intelligent system automation. His expertise lies in building end-to-end solutions that leverage Python, OpenCV, and machine learning to process, classify, and analyze images and video streams.
Cuong has contributed to surveillance platforms, quality control systems, and AI visual inspection tools, while also delivering performant backend APIs and clean user interfaces. Passionate about solving visual problems with code, he enjoys building real-world tools that bridge vision and intelligence. In his free time, he experiments with Raspberry Pi cameras and edge AI setups.
Skills
- OpenCV
- Python
- TensorFlow
- FastAPI
- Flask
- PostgreSQL
- React
- YOLOv5
Experience
- 2023 - 2025
Computer Vision Engineer à Siemens Healthineers
Cuong contributed to a visual inspection platform used in diagnostics equipment manufacturing. He built modules that analyze real-time camera feeds for component defects using OpenCV and trained image classification models to detect minor surface anomalies. He also developed RESTful endpoints for integration with factory monitoring systems.
- Python
- OpenCV
- TensorFlow
- FastAPI
- Redis
- 2021 - 2023
AI Backend Developer à Axis Communications
At Axis Communications, Cuong worked on an IP surveillance platform with built-in object detection and smart alerting. He built APIs to process video input, integrated YOLO-based models for real-time object classification, and managed the backend event system that recorded and indexed alerts.
- Python
- Flask
- OpenCV
- YOLOv5
- MongoDB
- 2019 - 2021
Full-Stack Developer à Verkada
Cuong helped develop a video analytics dashboard for security and building management. He built frontend components for tracking and visualizing detected activity and handled backend services that processed motion event metadata.
- ReactJS
- Python
- Django
- PostgreSQL
- 2017 - 2019
Imaging Software Developer à Philips Healthcare
Cuong worked in the imaging division of Philips Healthcare on internal tools that helped radiologists better manage and visualize high-resolution medical images. His tasks included developing image preprocessing scripts, enhancing DICOM viewer features, and working on early-stage classification tools using rule-based logic and basic ML models.
- Python
- OpenCV
- Scikit-learn
- DICOM
- MySQL
- 2015 - 2017
Junior Python Developer à Planet Labs
At Planet Labs, Cuong helped develop internal tools to process satellite imagery for infrastructure monitoring and land-use detection. He automated image tiling and supported early experiments in terrain classification using traditional image processing.
- Python
- OpenCV
- NumPy
- Matplotlib
Education
- 2015
Bachelor of Science in Software Engineering à Ho Chi Minh City University of Technology (HCMUT)