Viet-Anh Nguyen

ML Lead and AI Architect working on inference economics — making capable models run cheaply at the edge. Computer vision, voice, Vietnamese NLP, C++ systems.

What I'm building

AnyLabeling — Smart auto-labeling for images, powered by Segment Anything and YOLO. 3.4k stars on GitHub.
Neural Research Lab (nrl-ai) — Where flagship research artifacts are published.
nom-vn — Vietnamese NLP toolkit covering morphology, syntax, and a corpus aligned with Vietnam's AI Law 134/2025.
EdgeVox — Voice-controlled agent stack designed for ≤7B local models on edge hardware.

Featured artifacts on this profile

ONNX exports of Meta's Segment Anything family, packaged for direct use with onnxruntime and AnyLabeling:

Thesis

Local-first beats cloud-first when latency, cost, privacy, or sovereignty matter — which is most of the time. The work here is about closing the gap between research models and what runs reliably on a laptop, a phone, or an edge box.

Citation

If you use my work in research:

@misc{nguyen2026hf,
  author = {Nguyen, Viet-Anh and {Neural Research Lab}},
  title  = {Open-source AI artifacts and tools},
  year   = {2026},
  url    = {https://huggingface.co/vietanhdev}
}

Contact

Research: vietanh@nrl.ai

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