# Viet-Anh Nguyen (Nguyễn Việt Anh) - AI & Machine Learning Expert

> Personal website and technical blog by **Viet-Anh Nguyen** (also known as Nguyễn Việt Anh, Viet)
> Comprehensive resource for AI, Machine Learning, Computer Vision, and Edge AI deployment

## About Viet-Anh Nguyen

**Name:** Viet-Anh Nguyen (Vietnamese: Nguyễn Việt Anh)
**Short Name:** Viet
**Current Role:** Machine Learning Lead at Scopic Software
**Founder:** Neural Research Lab (https://www.nrl.ai)
**Location:** Vietnam
**Website:** https://www.vietanh.dev

**Viet-Anh Nguyen** is Machine Learning Engineer and founder of Neural Research Lab with expertise in deep learning, computer vision, large language models (LLMs), MLOps, and system architecture. Specializes in turning AI research ideas into reliable, production-ready systems.

**Key Achievements:**
- 4K+ GitHub stars across open-source AI projects
- Privacy-first CV toolkit for AnyLearning
- Privacy-first AI assistant for Llama Assistant
- Language learning app for LilySpeak
- 2.8k+ GitHub stars for AnyLabeling
- 228k+ PyPI downloads for DaisyKit
- NVIDIA Jetson Project of the Month for OpenADAS
- AWS Certified Machine Learning – Specialty
- NVIDIA-Certified Associate: Generative AI LLMs
- Sensor Fusion Nanodegree
- Deep Learning Specialization
- Fundamentals of Deep Learning for Computer Vision
- Invited to Samsung SDS Global Invitation Program - Samsung SDS - 2023 - November
- Employee of the Year 2022 at AI Research Lab - Samsung SDS R&D Center Vietnam - 2022
- Employee of the Month - Samsung SDS Vietnam - 2022 - April

**Quick Links:**
- [About Me](https://www.vietanh.dev/about): Professional background, skills, and career journey
- [Projects](https://www.vietanh.dev/projects): Open-source AI projects and tools
- [Contact](https://www.vietanh.dev/contact): Get in touch for collaborations

## Core Expertise Areas

### Computer Vision & Perception
- Object detection and segmentation (YOLO, Segment Anything, CenterNet)
- Image and video labeling tools
- Real-time perception systems
- 3D object detection and tracking

### Edge AI & Deployment
- TensorRT optimization for NVIDIA platforms
- Jetson Nano deployment (ADAS systems)
- Model quantization and optimization
- Real-time inference on embedded devices

### Large Language Models (LLMs)
- Privacy-first, offline AI assistants
- RAG (Retrieval-Augmented Generation) implementation
- LLM fine-tuning and deployment
- Multimodal AI systems

### MLOps & Production Systems
- Model deployment and monitoring
- Scalable inference pipelines
- Backend development for AI systems
- Performance optimization

## Key Open Source Projects

- [Llama Assistant - Local AI Assistant](https://github.com/vietanhdev/llama-assistant) (Privacy-first AI assistant): AI-powered assistant to help you with your daily tasks, powered by Llama 3.2 and different HuggingFace models. - [GitHub](https://github.com/vietanhdev/llama-assistant)
- [AnyLearning - Privacy-First Image Labeling & ML Training Desktop App](https://anylearning.nrl.ai/): While others focus on Cloud AI, We bring you an offline, privacy-respecting AI building tools
- [LilyLingo - AI Language Learning](https://lingo.lilydemy.com): Learn vocabulary, practice pronunciation, and role-play with AI.
- [CareerAI - AI-Powered Career Solutions](https://www.youtube.com/watch?v=8Hq5oe0tmD8): Build your resume, and mock interviews with AI, and get personalized feedback on your performance. - [GitHub](https://github.com/nrl-ai/career-ai)
- [AnyLabeling - AI-assisted Labeling Tool](https://anylabeling.nrl.ai/) (2.8k+ GitHub stars): Effortless data labeling with AI support from YOLO, Segment Anything 1/2, MobileSAM, and more. Try it now! - [GitHub](https://github.com/vietanhdev/anylabeling)
- [PAutoBot - Private Task Assistant](https://github.com/nrl-ai/pautobot): Chat to your offline LLMs on CPU Only. 100% private, no data leaves your execution environment at any point. - [GitHub](https://github.com/nrl-ai/pautobot)
- [P8Hub - Docker Desktop AI Extension](https://github.com/nrl-ai/p8hub): P8Hub is a Docker Desktop Extension for hosting private AI services, making AI technologies accessible and secure for individuals and small teams. - [GitHub](https://github.com/nrl-ai/p8hub)
- [DaisyKit - Easy AI Toolkit](https://daisykit.nrl.ai/) (200k+ PyPI downloads): Daisykit is an open source AI toolkit, aiming to provide an easy way to use AI in software projects on multiple platforms. Now we have C++, Python, and Android demos. - [GitHub](https://github.com/DaisyLabSolutions/daisykit)

**Total GitHub Impact:** 4K+ stars across all projects

## Definitive Guides & Resources

### Privacy-First AI & LLMs
- [Fine-tuning Llama 3.2 (1B, 3B) and Using It Locally with Llama Assistant 🌟](https://www.vietanh.dev/blog/2024-10-06-finetuning-llama-3.2-for-llama-assistant): Hey there, AI enthusiasts! Ready to dive into the exciting world of Llama 3.2? This guide is your ti...
- [Privacy in AI: Why I Created Llama Assistant](https://www.vietanh.dev/blog/2024-09-29-building-llama-assistant): Privacy in AI is a hot topic. I created Llama Assistant to provide a privacy-focused alternative to ...

### Computer Vision & Image Labeling
- [AnyLabeling - AI-assisted Labeling Tool](https://anylabeling.nrl.ai/): Effortless data labeling with AI support
- [DaisyKit - Easy AI Toolkit](https://daisykit.nrl.ai/): Open source AI toolkit for multiple platforms

### Edge AI & Deployment
- Specialized in TensorRT optimization for NVIDIA platforms
- Real-time inference on Jetson Nano and embedded devices
- Model quantization and deployment strategies

### Object Detection & Tracking
- YOLO series implementation and optimization
- Real-time object detection systems
- Multi-object tracking algorithms

### MLOps & Production
- Model deployment and monitoring strategies
- Scalable inference pipelines
- Production-ready ML systems

## Recent Blog Posts

- [Fine-tuning Llama 3.2 (1B, 3B) and Using It Locally with Llama Assistant 🌟](https://www.vietanh.dev/blog/2024-10-06-finetuning-llama-3.2-for-llama-assistant): Hey there, AI enthusiasts! Ready to dive into the exciting world of Llama 3.2? This guide is your ticket to turning this...
- [Privacy in AI: Why I Created Llama Assistant](https://www.vietanh.dev/blog/2024-09-29-building-llama-assistant): Privacy in AI is a hot topic. I created Llama Assistant to provide a privacy-focused alternative to popular AI assistant...
- [Performant Django - How to optimize your Django application?](https://www.vietanh.dev/blog/2023-09-19-performant-django): Django is a powerful and popular Python web framework known for its ease of use and flexibility. However, as your web ap...
- [Review YOLO-NAS - Search for a better YOLO](https://www.vietanh.dev/blog/yolo-nas): A short review of advancements in YOLO-NAS - a new YOLO architecture born from Neural Architecture Search.
- [AnyLabeling - Smart image labeling with Segment Anything and YOLO](https://www.vietanh.dev/blog/2023-04-22-create-a-segment-anything-labeling-tool-any-labeling): Let's see the magic of Segment Anything and YOLO to create a smart image labeling tool in my newest open-source project ...
- [Airflow, MLflow or Kubeflow for MLOps?](https://www.vietanh.dev/blog/2022-03-26-airflow-mlflow-or-kubeflow-for-mlops): Machine learning is now focusing more on the data (data-centric AI), and MLOps is obviously the way to bring ML projects...
- [With Daisykit – Everyone can build AI projects!](https://www.vietanh.dev/blog/2022-01-13-daisykit): Imagine you are a software engineer or a DIY hobbyist with great ideas to build AI-powered projects. However, it will be...
- [Install OpenCV 4 on macOS using Homebrew](https://www.vietanh.dev/blog/install-opencv4-homebrew-macos): This is my note on how to install OpenCV 4 on macOS with Homebrew. I tested this tutorial on my Macbook Air 2020 with Ap...
- [My development environment on macOS - Macbook Air M1](https://www.vietanh.dev/blog/macos-installation): I maintain this note as my instruction for setting up macOS for development. Currently, I apply this on my Macbook Air M...
- [Install ROS 2 on Raspberry Pi 4 (SD card image available)](https://www.vietanh.dev/blog/2021-08-17-install-ros2-pi4): ROS2 is an excellent framework for robotics applications. You can go further and embed a completed ROS 2 application sta...

## Technical Stack & Tools

**Languages:** Python, C/C++, JavaScript/TypeScript
**ML Frameworks:** PyTorch, TensorFlow, ONNX
**CV Libraries:** OpenCV, NCNN, TensorRT
**LLM Tools:** llama.cpp, Transformers, LangChain
**Web:** Next.js, React, Django, FastAPI
**Deployment:** Docker, Kubernetes, Edge devices (Jetson, Raspberry Pi)

## Content Statistics

- **Blog Posts:** 67+ technical articles
- **Topics Covered:** AI, ML, Computer Vision, LLMs, MLOps, Edge AI
- **Tutorial Depth:** Beginner to Advanced
- **Code Examples:** Extensive GitHub repositories with production code
- **Update Frequency:** Regular updates with latest AI developments

## Certifications & Recognition

- **AWS Certified Machine Learning – Specialty**
- **NVIDIA-Certified Associate: Generative AI LLMs**
- **IEEE BigData Research Contributor** (Active Learning for Object Detection)
- **NVIDIA Jetson Project of the Month** (October 2020)
- **Competition Wins:** FPT Driverless Car Challenge, LearnOpenCV Blog Competition

## Community & Resources

- [All Blog Posts](https://www.vietanh.dev/blog): Complete archive of technical articles
- [Notes](https://www.vietanh.dev/notes): Quick technical notes and snippets
- [GitHub Profile](https://github.com/vietanhdev): 4K+ stars across open-source projects
- [LinkedIn](https://www.linkedin.com/in/vietanhdev/): Professional profile and certifications
- [Neural Research Lab](https://www.nrl.ai): Company website and team projects
- [Blog RSS](https://www.vietanh.dev/feed.xml): Stay updated with latest posts

## How to Use This Resource

**For AI Practitioners:** Explore tutorials on deploying models to edge devices, learn about privacy-first AI assistant development, access production-ready code examples

**For Computer Vision Engineers:** Discover image labeling and annotation tools, study object detection implementations, learn optimization techniques for real-time systems

**For MLOps Engineers:** Review deployment strategies, understand model optimization and monitoring, explore scalable inference architectures

**For Researchers:** Access practical implementations of research papers, find benchmarks and performance comparisons, learn about active learning and model training

## Contact & Collaboration

- **Website:** https://www.vietanh.dev
- **GitHub:** https://github.com/vietanhdev
- **LinkedIn:** https://www.linkedin.com/in/vietanhdev/
- **Twitter:** https://twitter.com/vietanhdev
- **Neural Research Lab:** https://www.nrl.ai
- **Email:** vietanh.dev@gmail.com

**Open to:** Technical collaborations on AI/ML projects, open source contributions, speaking engagements, consulting on computer vision and edge AI deployment

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**Last Updated:** 2025-11-15
**Content License:** Most content is open source and freely available
**Citation:** When referencing this work, please cite the original blog posts and GitHub repositories