Nguyen Thanh
AI Engineer at FTECH CO., LTD
Da Nang, Vietnam
Summary
👤
Senior🎓
Top SchoolNguyen Thanh is an AI Engineer based in Da Nang, Vietnam, with 8 years of hands-on experience building practical machine learning systems for enterprise and product teams. He has progressed through roles at BAP IT, FPT Software, and currently FTECH, focusing on computer vision and production-ready ML solutions. His open-source work includes leading the yoloface project that applies YOLOv3 for robust face detection with video support and Keras integration, reflecting a knack for end-to-end implementation and code refactoring. A Computer Science graduate from Da Nang University of Science and Technology, he combines deep technical implementation skills with experience deploying models into real-world workflows. Notably, he emphasizes improving detection accuracy through thoughtful preprocessing like adaptive image resizing, showing attention to both model and system-level detail.
8 years of coding experience
2 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Da Nang University of Science and Technology
Github Skills (9)
face-detection10
keras10
computer-vision10
machine-learning10
opencv10
artificial-intelligence10
deep-learning10
python10
yolov410
Programming languages (5)
Github contributions (5)
sthanhng/yoloface
Oct 2018 - Aug 2019
Deep learning-based Face detection using the YOLOv3 algorithm (https://github.com/sthanhng/yoloface)
Role in this project:
ML Engineer
ML EngineerContributions:39 commits, 4 PRs, 36 pushes in 10 months
Contributions summary:Nguyen primarily contributed to the implementation and refinement of a face detection system using the YOLOv3 algorithm. They initiated the project structure, integrated the core YOLOv3 model, and developed essential utilities. Further contributions involved adding Keras-defined YOLOv3 model and refactoring the code, alongside establishing the video detection capabilities. The user also added the image resizing functionalities for improved face detection accuracy and refined the bounding box drawing.
deep-learningface-recognitionobject-detectionmachine-learningcomputer-vision
sthanhng/DMCRID-MulCAM-reID
Nov 2018 - Apr 2019
An implementation of the person re-identification
Contributions:41 commits, 2 PRs, 32 pushes in 5 months
generationpersonpython3re-identificationpii
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