Nguyen Lam Vy Dat
AI Intern
ć *********@*****.***
a github.com/VyDat-1702
] linkedin.com/in/dat-nguyen-lam-vy
` Nguyen Lam Vy Dat
EDUCATION AND CERTIFICATES
Embedded System and Internet of Things
HCMC University of Technology and Education 2022 - 2026 (expected) Current GPA: 3.2/4.0
English TOEIC 630/990 10/2024
GROUP AND INDIVIDUAL PROJECTS
Semantic Segmentation for Radar Signals
Developed a lightweight model for segmenting radar spectrograms, integrating channel attention andmulti-resolution branches for enhanced spatio-frequency feature learning. Achieved high accuracy on noisy radar data. https://github.com/VyDat-1702/Spectrogram_Signal-Senmatic_Segmentation Radar-Communication Waveform Classification
Designed a lightweight CNN for classifying 8 waveform types on CR-IoT devices using time–frequency features and attention modules. The model is robust against signal degradation. https://github.com/VyDat-1702/Radar-Classification Hand Sign Language Teaching System
Built a real-time teaching system for sign language using YOLOv8 for static gesture recognition and GRU with MediaPipe for dynamic gestures. Includes a user-friendly interface for interactive learning. https://github.com/VyDat-1702/HandSign_Language_Teaching_System MASSIVE OPEN ONLINE COURSES
Samsung Innovation Campus Artificial Intelligence – AI 04/2025 - 08/2025 (expected) Samsung Innovation Campus (SIC) is a technology training program for youth aged 12–22. It provides knowledge in programming, AI, IoT, Big Data, and soft skills. The goal is to develop a high-quality tech workforce for the future. Deep Learning Specialization by Andew Ng 12/2024 - 03/2025 Deep Learning Specialization is a 5-part course by Andrew Ng on the foundations and applications of deep learning. The course covers neural networks, CNNs, RNNs, optimization, and implementing real-world AI projects. The course is suitable for learners with basic knowledge of Python and mathematics. Learners can check out the course for free on Coursera, which provides access to video lectures and reading materials without receiving a certificate or graded assignments.
SKILLS AND BACKGROUND KNOWLEDGE
Programming Python (Upper-Intermediate) C/C++ (Intermediate) Matlab (Intermediate) Framework PyTorch, LangChain, FastAPI
Software and Tools VScode, LaTeX, Linux, Microsoft Office Platforms GitHub, Hugging Face Last update, May -2025