Zhenlin Xu
AI Research Scientist at Mistral AI
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolZhenlin Xu is an AI research scientist with nine years of experience building robust, data-efficient deep learning systems across LLMs, multimodal models, and computer vision. He holds a PhD from UNC-Chapel Hill and has driven research and applied work at Mistral AI, Boson AI, Amazon, Google, and NVIDIA, specializing recently in LLM alignment with synthetic data and training agentic models via reinforcement learning for tool use and reasoning. His background in medical and remote-sensing image analysis informs a practical focus on generalizable representation learning and domain adaptation. Based in Sunnyvale, he blends academic rigor with production-minded engineering, consistently translating self-supervised and multimodal research into scalable systems. Notably, he combines expertise from optics and imaging science with state-of-the-art LLM alignment techniques, enabling cross-domain innovations in perception and reasoning.
9 years of coding experience
7 years of employment as a software developer
Master of Science (M.S.) Imaging Science, Master of Science (M.S.) Imaging Science at Rochester Institute of TechnologyDoctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at The University of North Carolina at Chapel HillBachelor of Science (B.S.) Optics/Optical Sciences, Bachelor of Science (B.S.) Optics/Optical Sciences at Xi'an Jiaotong University
Chinese, English
Github Skills (56)
multimodal-deep-learning9
object-recognition9
semi-supervised-learning9
vision-framework9
supervised-learning9
image-registration9
vision-and-language9
salesforce9
python8
deep-learning8
texture8
segmentation8
gpu8
machine-learning8
image-processing7
Programming languages (4)
Github contributions (5)
uncbiag/DeepAtlas
Oct 2019 - Oct 2021
Joint Semi-supervised Learning of Image Registration and Segmentation
Contributions:8 commits, 7 pushes, 2 comments in 2 years
pytorchsupervised-learningsupervisedsemantic-segmentationdeep-learning
wildphoton/Compositional-Generalization
Feb 2022 - Oct 2022
Contributions:25 commits in 7 months
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