Alisha Fong
Engineer at Applied Intuition
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolAlisha Fong is an engineer with 11 years of experience building robotics and autonomy-driven consumer products, currently working on offroad-autonomy at Applied Intuition in San Francisco. She holds an M.Eng in AI from MIT and has a strong blend of research and product experience—from CSAIL robotic manipulation projects to shipping full-stack features at Apple. Her background spans planning for autonomous racecars, embedded and mobile control for soft robotics, and machine learning internships, giving her fluency across C++, Python, ROS, Swift, and system-level tooling. Known for turning research prototypes into production-ready features, she brings a practical focus on robustness under real-world noise and occlusion. Outside the obvious, she’s contributed to low-level networking and simulator tooling early in her career, reflecting comfort across both algorithms and systems engineering.
11 years of coding experience
3 years of employment as a software developer
Master of Engineering - MEng, Artificial Intelligence, Master of Engineering - MEng, Artificial Intelligence at Massachusetts Institute of TechnologyJohn Hersey High School
Chinese, Chinese, EnglishProgramming languages (3)
Github contributions (5)
afangg/gwcPortfolio
Jul 2017 - Aug 2017
Contributions:287 pushes, 2 branches in 1 month
afangg/ndf_robot_language
Oct 2022 - May 2023
Implementation of the method proposed in the paper "Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation"
Contributions:92 pushes, 11 branches in 6 months
pytorchmanipulationrepresentationsdescriptormethod
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