Leo Lin
Robotics Software Engineer at Amazon
Cupertino, California, United States
Summary
👤
Senior🎓
Top SchoolLeo Lin is a robotics software engineer with eight years of hands-on experience building perception, control, and learning systems for dexterous manipulation and humanoid platforms. Currently at Amazon’s Innovation Lab and with research stints at UIUC and NSF, he couples robot RL, vision, and tactile sensing expertise to bridge simulation (MuJoCo) and real-time teleoperation. He has shipped front-end contributions to the widely used Kolibri education platform and implemented embedded protocols and inference pipelines in Rust and Python for robot data collection and control. Comfortable leading teams—he co-chaired SIGRobotics’ embodied-AI hackathon and humanoid projects—Leo is adept at squeezing practical solutions from limited resources, whether designing compact PCBs or deploying dockerized factory tools. Based in Cupertino and pursuing CS/CE studies at UIUC, he brings an unusual blend of product-focused engineering and academic research that accelerates robot learning into deployable systems.
8 years of coding experience
2 years of employment as a software developer
startup school, startup school at Y CombinatorBachelor's degree Computer Engineering, Bachelor's degree Computer Engineering at University of Illinois Urbana-ChampaignMonta Vista High School
Chinese, Japanese, English
Github Skills (12)
html10
css10
javascript10
front-end-development10
vue10
vue-jsx10
ui-components10
edtech9
offline-web-app8
offline-app8
offline-mode8
offline-js8
Programming languages (6)
Github contributions (5)
learningequality/kolibri
Aug 2020 - Aug 2020
Kolibri Learning Platform: the offline app for universal education
Role in this project:
Front-end Developer
Front-end DeveloperContributions:14 commits, 3 PRs, 7 comments in 20 days
Contributions summary:Leo primarily contributed to the front-end development of the Kolibri learning platform. Their commits focus on modifying and creating user interface components, specifically related to facility configuration and class enrollment pages. These changes involved implementing features like a sticky bottom bar and addressing UI-related issues, such as correcting checkbox behavior and enabling/disabling UI elements based on user input. The user also addressed linting errors and made code clean-up efforts within the frontend codebase.
learning-platformoerofflineoffline-firstkolibri
mdctleo/SpaceGuy
Sep 2017 - Jun 2020
Contributions:5 pushes, 1 branch in 2 years 9 months
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