Curriculum Vitae

๐ŸŽ“ Education

Bachelor of Science in Computer Science
2023 โ€“ Present
Ho Chi Minh City University of Technology (HCMUT - VNU)
  • GPA: 3.0/4.0

    • ๐Ÿ’ผ Professional Experience

    AI Research Intern
    Apr 2026 โ€“ Aug 2026
    EyeCode Lab โ€“ Robotics Simulation (ROS2 & Arena-RosNav)
    • Integrating Social Navigation, Urban Navigation and Social Walker into Arena-RosNav by ROS2.
    • Designing scenarios and collecting data by Arena-RosNav Simulation.
    Lab Teaching Assistant
    June 2025 โ€“ Sep 2025
    HCMUT EE Machine Learning and IoT Lab

    ๐Ÿ† Selected Projects & Honors

    Brain Tumor Classification with 4 Methods
    Programming Integration Project
    GitHub Link | Grade: 9.5/10 (Highest Distinction)
    • Conducted a rigorous benchmarking study of 4 distinct architectures: Naive Bayes, Random Forest, Multi-Class SVM (OVO), and Custom CNN.
    • Implemented feature engineering using HOG and dimensionality reduction via PCA vs. automatic feature extraction in CNNs.
    • Demonstrated that SVM (97.0%) outperformed Deep Learning (CNN 90.6%) on this dataset, highlighting the efficiency of Convex Optimization.
    Video Retrieval - Final Round AI Challenge 2025
    Jun 2025 โ€“ Nov 2025
    • Engineered a video processing pipeline using TransNetV2 for shot boundary detection and SliTraNet for spatial-temporal feature extraction.
    • Integrated YOLO for object detection and OCR engines to extract textual information.
    • Implemented advanced query processing and retrieval algorithms to optimize search accuracy.
    Mushroom Classification Analysis
    May 2025
    Award: First Prize - Olympic AI HCMC 2025
    • Developed a CNN-based model for mushroom classification focusing on high accuracy.
    • Implemented data augmentation techniques to increase dataset diversity.
    • Applied ensemble methods and mutual deep learning strategies to boost performance metrics.
    PM2.5 Air Quality Forecasting (Multivariate Time-Series)
    Personal Project
    GitHub Link
    • Engineered a LSTM architecture using PyTorch to forecast PM2.5 levels from multivariate atmospheric data.
    • Implemented custom training loop with Early Stopping and TensorBoard integration for real-time loss monitoring.
    Human Motion Generation with Diffusion Models
    Ongoing Research
    • Investigating Denoising Diffusion Probabilistic Models (DDPM) to synthesize realistic 3D human motion sequences.
    • Implementing a Transformer-based architecture with Cross-Attention mechanisms.
    Smart Supermarket Web System
    Jun 2025 โ€“ Sep 2025
    Award: Top 20 - IoT Challenge 2025 & Most Popular Team Award
    • Implemented an automated checkout system integrating web-based payments and barcode recognition.
    • Developed an intelligent chatbot using the Gemini API to handle customer queries.

    ๐Ÿ”ฌ Technical Skills

    Programming

    Python C C++ Java LaTeX

    Frameworks & Tools

    PyTorch Git GitHub

    Research Areas

    Generative AI Computer Vision Applied Maths for AI