Jiadong Guo

Member Of Technical Staff at Microsoft AI

Mountain View, California, United States
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Summary

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Jiadong Guo is a Member of Technical Staff with nine years of experience applying perception, reinforcement learning, and synthetic data techniques to real-world products, currently focused on post-training and agentic multimodal LLMs. He has shipped multimodal reasoning and generation features across Meta and now Microsoft AI, blending research-grade RL and post-training with production engineering in C++, Python, and PyTorch. His background in 3D graphics, diffusion models, and synthetic-data pipelines complements hands-on work on eye-tracking, T2I ad models, and video captioning, enabling robust domain adaptation and neural rendering at scale. Notably, he has published lidar-based perception work in IEEE RA-L and built a negative-sample generator for coder LLMs on GitHub, reflecting a practical bent for tooling that improves model robustness. Based in Mountain View, he bridges robotics-rooted systems thinking from ETH Zürich with fast-moving multimodal AI product development.
code9 years of coding experience
job7 years of employment as a software developer
bookBachelor’s Degree, Mechanical Engineering, Bachelor’s Degree, Mechanical Engineering at RWTH Aachen University
bookMaster’s Degree, Robotics, Systems and Control, Master’s Degree, Robotics, Systems and Control at ETH Zürich
bookGerman as first foreign language, German as first foreign language at Shanghai Foreign Language School
languagesEnglish, German, Chinese
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Stackoverflow

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Github Skills (61)

llama10
inference10
multimodal10
large-language-models10
reinforcement-learning10
llm10
cuda10
transformer10
wan10
lidar10
glm10
minimax10
simulator9
post-training9
reinforcement-learning-environments9

Programming languages (6)

C++CObjective-CJupyter NotebookPythonCuda

Github contributions (5)

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Contributions:53 commits, 1 push, 1 branch in 9 days
JD-ETH/jd-eth.github.io

Apr 2018 - Aug 2025

Contributions:77 pushes in 7 years 5 months
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