Nguyễn Hữu Nam
@nguynhunam
Highly determined Computer Science student with AI and machine learning experience.
What I'm looking for
I am a third-year Computer Science student with a strong passion for artificial intelligence and machine learning. My hands-on experience includes working with ReactJS and developing innovative solutions in computer vision and generative AI. I have successfully led teams on projects such as the PPE Violation Detection system, where I implemented advanced object detection models to enhance workplace safety.
My academic journey at the University of Information Technology has equipped me with a solid foundation in programming and data analysis. I have a cumulative GPA of 3.5/4.0 and have actively participated in various projects that demonstrate my ability to deliver practical, end-to-end AI applications. I am eager to apply my skills in a full-time internship, contributing to impactful AI solutions that address real-world challenges.
Experience
Work history, roles, and key accomplishments
AI Intern
Beeditor
Developed and deployed YOLOv5 object detection model with transfer learning techniques on SH17 and private datasets, achieving 0.701 mAP@50 accuracy and 20+ FPS performance on NVIDIA RTX 3050 hardware. Integrated ByteTrack algorithm from the original research codebase and establishing custom evaluation metrics for violation detection.
Private Tutor
Private Tutoring
Oct 2023 - Present (1 year 9 months)
Taught Data Structures and Algorithms (DSA) in C++ and Python to first-year Computer Science students from multiple universities (HCMUS, UIT, and USYD). Mentored them to achieve a 8.0+ GPA in the subject.
Big Summer Trip Participant
SUGAR Vietnam
Mar 2020 - Present (5 years 4 months)
Worked and communicated remotely with non-technical members in NPOs during the COVID-19 pandemic. Developed strong workflow and timeline management skills using Google Workspace, Trello, and Slack.
B.Sc. in Computer Science
University of Information Technology - VNUHCM
Sep 2022 - Present (2 years 10 months)
Led a team of three to design and implement an end-to-end system for real-time PPE compliance monitoring in video streams, significantly reducing workplace safety violations. Developed and deployed YOLOv5 object detection model with transfer learning techniques on SH17 and private datasets, achieving 0.701 mAP@50 accuracy and 20+ FPS performance on NVIDIA RTX 3050 hardware.
Education
Degrees, certifications, and relevant coursework
University of Information Technology - VNUHCM
B.Sc. in Computer Science, Computer Science
Grade: 3.5/4.0
Currently pursuing a Bachelor of Science in Computer Science with a specialization in Computer Vision. Achieved a cumulative GPA of 3.5/4.0, demonstrating strong academic performance in the field.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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