My Journey

💼 Work Experience

Fullstack Developer

April 2024 - Present
Employment Hero
  • Delivered AI integration features for the hiring platform — from database schema design and backend workflow integration to UI implementation
  • Modernized legacy codebase with gRPC, improving performance, scalability, and developer efficiency
  • Collaborated with the Machine Learning team to refine prompts and improve the accuracy of AI-driven automation tools
  • Built GitHub CI/CD workflows to automate and simplify pull request creation for developers
  • Created comprehensive documentation for workflows, proposals, and environment configurations
🛠️ gRPC AI Integration GitHub CI/CD Fullstack Database Design

Intern Software Engineer

September 2023 - January 2024
Global Fashion Group
  • Contributed unit, integration, and end-to-end tests for legacy source code using Pytest and Puppeteer
  • Built a complete website using Django and ReactJS to manage users' API calls to third-party AI tools (ChatGPT, background removal, etc.)
  • Researched and delivered a machine learning model to remove backgrounds for the Virtual Try-on feature
    👗 Virtual Try-On Background Removal
    📋 Problem

    Virtual try-on features require clean product backgrounds, but manual removal doesn't scale for large fashion catalogs.

    💡 Solution

    Developed an ML model to automatically remove backgrounds from clothing images, enabling customers to visualize garments before purchase.

    Technologies Used:
    Computer Vision Image Segmentation Python
    Virtual Try-On Feature

    Virtual Try-On with Background Removal

🛠️ Python Django ReactJS Pytest Puppeteer ChatGPT API

Backend Developer

March 2023 - August 2023
NEXON Dev Vina
  • Fine-tuned and delivered a classifier model to detect harmful decals in the KARTRIDER game
    🎮 KARTRIDER Decal Classification System
    📋 Problem

    Some players create harmful decals (violent, bloody, or sensitive imagery) that degrade the gaming environment.

    💡 Solution

    Developed an ML classifier to automatically detect harmful vs safe decals. The system blocks harmful content and warns users before they can apply it.

    Technologies Used:
    PyTorch YOLO Model Scikit-learn
    KARTRIDER Game

    KARTRIDER Racing Game

    Custom Decal Tool

    KARTRIDER allows users to customize their decals for their cars

  • Configured and maintained a machine learning server via SSH to train the model with large datasets
  • Applied the ML model to an internal website using Django and ReactJS
🛠️ Python Django ReactJS Machine Learning SSH

🎓 Education

Bachelor's Degree in Computer Science

2019 - 2023
🏫 University of Information Technology - Vietnam National University, HCMC
📚 Key Courses:
OOP Algorithms & Data Structures Design Patterns Machine Learning Computer Vision
🏆 GPA: 8.43/10