Quang Le
Building intelligent systems with Computer Vision, NLP, and Generative AI
About Me
A brief introduction
I'm an AI Engineer passionate about building intelligent systems that solve real-world problems. Currently pursuing a Master's in Artificial Intelligence at VNU-HCM University of Science, I specialize in computer vision, natural language processing, and generative AI.
With hands-on experience developing AI solutions for sports analytics and conversational AI, I enjoy bridging the gap between cutting-edge research and production-ready applications. When I'm not training models, you'll find me exploring new AI frameworks, contributing to open-source projects, or participating in data science competitions.
Education
My academic background
M.S. Artificial Intelligence
VNU-HCM University of Science
2025 — 2027
Pursuing a Master's degree in Artificial Intelligence, focusing on advanced deep learning, computer vision, and natural language processing.
B.S. Computer Science
VNU-HCM University of Science
2021 — 2025
Graduated with GPA 8.85/10. Specialized in computer science with thesis on Graph Neural Networks and counterfactual explanations. Actively participated in data science competitions, winning 2nd Prize at Sudo Code 2024 (NLP track).
Experience
Where I've worked
AI Developer
SPlus Software Company
Jan 2026 — Mar 2026
Developed core computer vision systems for sports match analysis at an IT outsourcing company serving the Japanese market. Built and fine-tuned deep learning models for player/ball tracking and event detection. Deployed AI models into backend services using Python, FastAPI, YOLO, and OpenCV.
AI Engineer
AIAIVN Company
Jan 2025 — Dec 2025
Developed backend systems (API, WebSocket, CRUD) for Generative AI applications in the travel industry. Designed chatbot conversation flows and processed data for conversational AI. Built AI Agents for question answering by searching information and auto-generating SQL queries using Azure Services and OpenAI API.
Skills & Technologies
Tools and technologies I work with
AI / Machine Learning
Backend & Databases
Tools & Cloud
Data & Other
Featured Projects
Some things I've built
Football AI Analysis
Developed computer vision models to detect players, ball, referees, and football pitch from match videos. Implemented multi-object tracking and homography transformation for top-view coordinate mapping with player performance metrics (speed, distance, possession rate).
Fund AI Chatbot
Built a chatbot capable of answering questions by searching documents and auto-generating SQL queries for data-driven responses. Designed AI Agent workflows with database context understanding using MS Agent Framework and Azure AI Search for PDF indexing.
Hasaki Customer Service Chatbot
2nd Prize — Sudo Code 2024 (Data Science NLP). Built a RAG-based customer service chatbot for an e-commerce platform with product comparison, query assistant, and support flows. Integrated Pinecone VectorDB, MongoDB, and Streamlit UI with FastAPI backend.
HocTapTot Upgrade
A full-stack platform for a tutoring center: a public landing page showcasing courses and teachers, an admin dashboard for center management, a teacher portal for class scheduling and student tracking, and a student workspace for assignments and progress. Built with Next.js App Router and a unified design system across all modules.
Portfolio
A bilingual (EN/VI) personal portfolio website with smooth animations and bold effects: particle canvas background, typewriter text loop, 3D tilt cards, glitch text, and scroll-triggered reveals. Built with Next.js 15, Tailwind CSS v4, and Framer Motion 12, featuring a custom i18n system and fully responsive design.
Research
Academic work & publications
Text-GCFExplainer — GNN Thesis
Bachelor's thesis: A global counterfactual explanation method for Graph Neural Networks on textual data. Extended GCFExplainer with linguistically grounded edit operations, perplexity-based quality measures, and text-specific rule extraction for sentiment classification.