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vtnguyen04/README.md
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👋 About Me

Coding

I'm an AI Engineer working at the intersection of robotics and machine learning, with a background in Robotics Engineering and a focus on autonomous systems — perception, planning, and control on real hardware.

Most of my work is about getting deep learning models out of the notebook and onto devices that actually run: self-driving platforms, mobile robots, and embedded vision systems. I care about the problems where an algorithm has to hold up under real constraints — latency, compute budget, and reliability.

  • 🚗 Now building — perception for autonomous vehicles, deep learning on edge devices
  • 🔬 Interested in — agentic AI, generative models, world models, graph neural networks, sensor fusion, planning under uncertainty
  • 🤝 Open to — collaboration on serious robotics / AI projects

🛠 Tech Stack

Languages

Python C++ C# MATLAB

AI / ML & Deep Learning

PyTorch TensorFlow Keras scikit-learn OpenCV NumPy Pandas

Robotics & Hardware

ROS ROS2 NVIDIA Jetson Arduino ESP32 Raspberry Pi

Tooling

Git Docker Linux Jupyter VS Code

🔬 Focus Areas

Area What I work on
🤖 Autonomous Systems End-to-end perception → planning → control on real robots and vehicles
🕹️ Agentic AI LLM-driven agents that plan, use tools, and act over long horizons
🎨 Generative AI Diffusion and transformer models for synthesis and data generation
🌍 World Models Learned environment dynamics for prediction and model-based control
👁️ Computer Vision Detection, segmentation, and depth estimation for navigation
🧠 Deep Learning CNNs, GNNs, and sequence models — trained and deployed on the edge
🎯 Path Planning Optimization-based navigation under real-world constraints

📊 GitHub Stats


Võ Thành Nguyễn · AI Engineer & Robotics

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  1. ultralytics/ultralytics ultralytics/ultralytics Public

    Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

    Python 62.8k 11.9k

  2. distracted-detection distracted-detection Public

    Real-time driver distraction detection system built on a multi-process IPC zero-copy architecture. Supports YOLO, MediaPipe, ONNX Runtime, OpenVINO, and TensorRT.

    Python

  3. neuralPilot neuralPilot Public

    🚀 High-performance, unified End-to-End Autonomous Driving framework. Jointly learns real-time Trajectory Prediction, YOLO11 Object Detection, Attention Heatmap Segmentation, and Navigation on NVIDI…

    Python 2

  4. NeuRalnet-from-scratch NeuRalnet-from-scratch Public

    Neural Network Framework Inspired by PyTorch & PyTorch Lightning

    Python 7

  5. AlterraFa/JEPA-Guided-Diffusion AlterraFa/JEPA-Guided-Diffusion Public

    JEPA Predictive bridge that is used to guide generation for Cosmos Predict 2.5

    Python 2

  6. ThuongBuiRVC/Traffic-JEPA ThuongBuiRVC/Traffic-JEPA Public

    1st place solution to the 10th AI City Challenge (2026), Track 2: Transportation Safety Understanding and Captioning

    Python 1