Mishig Davaadorj

Member Of Technical Staff at Hugging Face

Paris, Ile-de-France
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Summary

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Rockstar
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Mishig Davaadorj is a Member of Technical Staff at Hugging Face with 10 years of engineering experience, based in Paris, specializing in machine learning engineering and full‑stack development for open-source AI tooling. He has contributed substantially to flagship libraries like Transformers and Diffusers—implementing image segmentation/object detection pipelines and adapting Flax models and schedulers—while also improving tokenizers and Hub widgets for production use. Mishig blends backend performance work (parallelized trainers, serialization fixes) with front‑end user experience improvements (real‑time ASR widgets, visualization fixes for robotics datasets and HuggingChat UI). Comfortable across modalities (image, audio, text) and stacks, he often bridges research-grade models and pragmatic UX, and has a knack for smoothing library integrations that make advanced models easier to use.
code10 years of coding experience
bookColorado College
languagesEnglish, Russian, Mongolian, French
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Github Skills (59)

transformers10
tokenize10
pytorch10
javascript10
sveltekit10
python10
diffusion-models10
huggingface-hub10
machine-learning10
typescript10
data-serialization10
webscraping10
diffusers10
diffusion-probabilistic-models10
flax10

Programming languages (12)

MDXTypeScriptJavaC++RustHandlebarsJavaScriptHTML

Github contributions (5)

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huggingface/hub-docs

Jul 2021 - Jan 2023

Docs of the Hugging Face Hub
Role in this project:
userFront-end Developer & ML Engineer
Contributions:154 reviews, 114 commits, 315 PRs in 1 year 6 months
Contributions summary:Mishig primarily contributed to the front-end of the Hugging Face Hub documentation project, focusing on integrating and improving inference snippets for various machine learning tasks, particularly in the areas of image, audio, and text processing. They added support for new model types (RL, audio, image segmentation, object detection) and provided example inputs for different modalities, enhancing the user experience by providing code examples. Furthermore, the user implemented a real-time ASR (Automatic Speech Recognition) widget.
frontend-componentshostedhugging-facefrontendface
huggingface/chat-ui

May 2023 - Feb 2025

Open source codebase powering the HuggingChat app
Role in this project:
userFull-stack Developer
Contributions:399 reviews, 161 PRs, 334 pushes in 1 year 9 months
Contributions summary:Mishig primarily worked on enhancing the HuggingChat UI, focusing on the web search functionality. Their commits involved updating the web search feature with prompt engineering, refining the search query generation, and integrating a web scraping approach for information extraction. They also worked on UI fixes and improved source presentation, demonstrating a strong understanding of both the front-end and back-end aspects of the application.
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Mishig Davaadorj - Member Of Technical Staff at Hugging Face