Computer science, machine learning, deep learning, computer vision
Resume:
NVIDIA Deep Learning Institute Workshop: Anomaly Detection Techniques
Participated in a hands-on workshop using machine learning models to detect outliers and rare patterns in data
CERTIFICATIONS
University of Information Technology - VNUHCM
9/2022- now
GPA: 8.63/10
Recipient of Encouraged Scholarship (Top 8% GPA – 3 Consecutive Semesters) Bachelor of Science in Computer Science
EDUCATION
Built an unsupervised anomaly detection system using DBSCAN clustering on transactional data. Achieved meaningful grouping of data points and flagged outliers as potential frauds. Visualized clusters with Matplotlib and evaluated clustering performance using silhouette scores 5/2025
Fraud Detection with DBSCAN
Built a custom dataset for isolated sign language recognition by segmenting and annotating short gloss-level clips from long-form sign language videos Designed a preprocessing pipeline using YOLOv11 for background reduction, combined with light data augmentation, cropping, resizing, and temporal sampling techniques Implemented and evaluated multiple deep learning models including ResNet50–LSTM, I3D
(pretrained), and Transformer-based architectures to establish strong performance baselines Conducted a literature review to identify SOTA models and adapt them to the Vietnamese sign language domain
Achievements:
Successfully created a Vietnamese Sign Language dataset for isolated recognition Built reliable baselines with 0.5–0.6 accuracy, laying the groundwork for further model and system development
From 7/2025 - now
Vietnamese Sign Language Video Classification
PROJECTS
Programming Languages: Python, SQL, C++
Machine Learning & Deep Learning: Experienced in training and fine-tuning models for video classification and retrieval systems using PyTorch and Scikit-learn Tools & Workflow: Git/GitHub for version control, Colab/Kaggle for experimentation, Slurm for managing compute jobs on high-performance clusters Data Handling: Skilled in processing video data, building custom datasets, and applying feature engineering techniques
Languages: Vietnamese, English
SKILLS
I am a final-year Computer Science student with solid skills in Python, Machine Learning, and Deep Learning. I have a strong understanding of model architectures and practical experience in tasks such as video classification, retrieval systems, pretrained model fine- tuning, and dataset construction. With research experience and the ability to read and comprehend technical papers in English, I am eager to apply my academic knowledge to a real-world environment. I am seeking an internship opportunity where I can contribute, learn, and grow in a dynamic and professional industry setting. ABOUT ME
*************@*****.***
AI ENGINEER Thủ Đức, TP. Hồ Chí Minh
PHƯƠNG HOÀNG YẾN
Machine Learning Specialization
Developed an understanding of machine learning algorithms using Python through a course provided by Coursera (Stanford University & DeepLearning.AI) Linkedin
Link
Link
Contact this candidate