Xiaohan Fei
Principal Applied Scientist at Amazon
Kirkland, Washington, United States
Summary
👤
Senior🎓
Top SchoolXiaohan Fei is a Principal Applied Scientist based in Kirkland with 11 years of experience bridging computer vision, robotics, and machine learning to deliver production-scale AI systems. He led the science behind Amazon Nova Reel, a high-profile video generation model announced by Amazon's CEO and launched at re:Invent 2024, and has progressed through research and applied roles across AWS, Amazon, Meta, and NVIDIA. His academic work at UCLA produced the award-winning research in robot vision (Best Paper, ICRA 2019) and the open-source XIVO visual-inertial odometry project, where he contributed core algorithmic and visualization improvements. Xiaohan specializes in 3D vision, sensor fusion, SLAM, and semantic mapping, combining theoretical depth from a UCLA PhD with hands-on engineering that ships products. Colleagues describe him as someone who moves seamlessly between research breakthroughs and robust, maintainable code—often improving numerical cores and developer ergonomics behind the scenes.
11 years of coding experience
10 years of employment as a software developer
Science, Science at Huzhou High SchoolUniversity of California, Los AngelesAdvanced honor Class of Engineering Education (ACEE) Chu-Kechen College, Advanced honor Class of Engineering Education (ACEE) Chu-Kechen College at Zhejiang University
Chinese, English
Github Skills (6)
c-language10
eigen10
cprogramming-language10
linear-algebra10
computer-vision8
sensor-fusion8
Programming languages (3)
Github contributions (5)
ucla-vision/xivo
Aug 2019 - Jun 2021
X Inertial-aided Visual Odometry
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 reviews, 198 commits, 2 PRs in 1 year 10 months
Contributions summary:Xiaohan primarily contributed to the core logic of the X Inertial-aided Visual Odometry project. Their contributions included implementing a debug view switcher, optimizing matrix product differentials, and adding descriptions to source and header files. The changes indicate a focus on improving the visualization of feature tracking and enhancing the codebase's overall structure, as well as contributing to the mathematical core of the project.
sensor-fusionvisual-odometryodometryvisual-inertialinertial
feixh/feixh.github.com
Jul 2018 - Jan 2023
Contributions:82 commits, 13 pushes in 4 years 6 months
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