Hi, I'm Huynh Gia Hao (avatarstar1133)

An engineering-minded Software Engineering student specializing in Computer Vision, Autonomous Systems, and Deep Learning Applications. Active Research Member at AITA Lab and AIoT Research Pioneer Club, driven by clean architecture, performance optimization, and robust problem-solving.

Tech Stack & Core Competencies

• Core Languages: C/C++, Python (Production & Research), Java (OOP Paradigm), JavaScript
• AI & Computer Vision: YOLOv8 - YOLOv11 (Object Detection/Tracking), ByteTrack, Open-World Object Detection (OWOD), Florence-2, OpenCV, Active Learning Pipelines
• Hardware & Edge Computing: NVIDIA Jetson Nano, Drone Autonomous Systems, Linux Environment
• Software Engineering & Tools: Object-Oriented Programming (OOP), Data Structures & Algorithms, Git Version Control, Clean Code Principles

Professional & Research Experience

Research Assistant | AITA Lab — FPT University, HCM Sep 2025 – Present

• Autonomous Vision & Drone Technologies: Research and develop high-performance computer vision pipelines for drone-based autonomous vision, target locking, and indoor/outdoor localization.
• Advanced Object Tracking & Open-World Vision: Integrated cutting-edge foundational models (Florence-2, YOLO-World) with tracking algorithms (ByteTrack) to architect an Open-World Object Detection engine featuring adaptive real-time self-learning capabilities.
• Active Learning Pipelines: Implemented robust workflows for automated data labeling, filtering, and model retraining to handle out-of-distribution data in production deployment.

AI Researcher | AIoT Research Pioneer Club — FPT University, HCM Jan 2025 – Present

• Embedded Computer Vision & Robotics: Engineered software modules for an autonomous line-following vehicle deployed on NVIDIA Jetson Nano hardware.
• Image Processing Optimization: Applied advanced digital image processing techniques to maximize throughput and latency minimization for real-time edge processing constraints.
• Scholarly & Technical Support: Collaborated within an agile research team to conduct experimental validation, debug edge hardware constraints, and write detailed technical reports.

Key Projects

Drone Swarm Target Tracking System

• Context & Architecture: Developed a decentralized computer vision system enabling autonomous target tracking and inter-drone coordination.
• Technical Action: Optimized heavy Deep Learning models for real-time edge inference, ensuring stable frame rates (30+ FPS) under tight computational budgets.
• Outcome: Successfully demonstrated high-precision coordinate prediction and multi-object tracking stability under varying lighting and environmental conditions.

Autonomous Vehicle (Jetson Nano)

• Context & Architecture: Built a scale-model autonomous vehicle executing real-time navigation along complex indoor tracks.
• Technical Action: Developed robust lane-detection and path-planning algorithms using OpenCV and specialized algorithmic approaches to minimize trajectory error.
• Outcome: Achieved seamless end-to-end edge inference on the Jetson Nano platform with zero fatal crashes during operational test loops.

Honors & Competitive Programming Awards

• Promising Award – FPT University Hackathon (2025) | Project: "Chip AI - Logistics on Edge" (Deep-dive hardware deployment and real-world edge logistics optimization).
• Honorable Mention – ICPC Vietnam National Programming Contest (2025) | Solved complex algorithmic problems under rigid time and space complexity constraints.
• Rank 443 (Score: 29.00) – Code Tour 2025 (Code Challenge #1 by VNG) | Validated strong problem-solving and rapid algorithmic thinking under high-intensity competition.
• Second Prize – Provincial Informatics Olympiad (2024).
• Honorable Student of Semester – FPT University (Academic Excellence Scholarship holder).

Certifications & Education

• Bachelor of Computer Software Engineering – FPT University (GPA: 8.5/4.0 scale) | Oct 2024 – May 2028
• Software Engineering – The Hong Kong University of Science and Technology (Credential ID: F2NM187LQGN6)
• Generative AI in Software Development – Amazon (Credential ID: SNH93MBF84RG)
• Object Oriented Programming in Java – Duke University (Credential ID: 89GTEV722044)

Connect With Me

• Email: [email protected]
• LinkedIn: Gia Hao Huynh
• Portfolio Website: Huynh Gia Hao Portfolio