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PhucHuwu/README.md

Hi! My name's

Phuc Huwu

Profile Views Total time coded since Nov 11 2025
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👨‍💻 About Me

I’m a passionate AI researcher from Vietnam, currently pursuing an Engineering Degree in Information Technology at the Posts and Telecommunications Institute of Technology (PTIT). My primary research lies at the intersection of Computer Vision, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) systems.

Driven by curiosity and innovation, I aim to solve real-world problems by combining deep theoretical knowledge with hands-on experience in building intelligent systems.


Technical Skills

Programming Languages

Python TypeScript C++

Full-stack Web Development

Next.js Node.js FastAPI Prisma

AI, Machine Learning & Data

PyTorch TensorFlow LangChain FAISS Scikit-learn OpenCV

Data, Storage & DevOps

PostgreSQL MinIO Git Docker Anaconda

AI Coding & Automation

OpenCode Claude Code Antigravity OpenRouter Selenium


Academic Background

Posts and Telecommunications Institute of Technology, Hanoi
Engineer of Information Technology | 2022 – Present

  • Direct Admission with full scholarship (Top-tier entrant)
  • Focus: Information System

Thai Hoa High School
High School Diploma | 2019 – 2022

  • Third Prize, International Science and Engineering Fair (ISEF Vietnam) – Embedded Systems, AI category

Contact Me

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  1. deep-learning-visual-odometry deep-learning-visual-odometry Public

    Monocular visual odometry with RGB and predicted-disparity fusion

    Python 1

  2. Distance_estimation Distance_estimation Public

    A Python-based quadratic nonlinear regression model for estimating hand-to-camera distance from 2D images.

    Python 12

  3. CellphoneS_Chatbot CellphoneS_Chatbot Public

    CellphoneS Chatbot là trợ lý AI giúp khách hàng tra cứu thông tin sản phẩm, chính sách và dịch vụ của CellphoneS bằng tiếng Việt, kết hợp công nghệ RAG và giao diện web hiện đại.

    Python 11

  4. MNIST_Handwritten_classification MNIST_Handwritten_classification Public

    Handwritten digit classification system with custom neural networks from scratch. 96.53% accuracy on MNIST with interactive GUI for real-time testing.

    Jupyter Notebook 5