Jiadong Guo
Member Of Technical Staff at Microsoft AI
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolJiadong 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.
9 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Mechanical Engineering, Bachelor’s Degree Mechanical Engineering at RWTH Aachen UniversityMaster’s Degree Robotics Systems and Control, Master’s Degree Robotics Systems and Control at ETH ZürichGerman as first foreign language, German as first foreign language at Shanghai Foreign Language School
English, German, Chinese
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (71)
simulator9
ros-node9
yarp9
reinforcement-learning-environments9
ignition8
ros8
gazebo-simulator8
pcl8
gazebosim8
point-cloud8
sensor7
optimization7
cpp7
computer-vision7
partition7
Programming languages (6)
Github contributions (5)
trcbots/3dayrobot_capri_micro
Feb 2018 - Feb 2018
Contributions:53 commits, 1 push, 1 branch in 9 days
JD-ETH/jd-eth.github.io
Apr 2018 - Jul 2021
Contributions:76 pushes in 3 years 3 months
templategithub-pages-templatemmistakesmistakesjekyll
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