Summary
Andrew Lee is a Member of Technical Staff with 11 years of software engineering experience, blending machine learning, computer vision, and robotics research with production ML infrastructure work. A UC Berkeley CS graduate based in San Francisco, he has built Siamese networks and class-agnostic instance segmentation models in research settings and later scaled feature computation pipelines for ML at Stripe. His background spans end-to-end systems—from TensorFlow model development and distributed data pipelines to performant backend services—demonstrating both research rigor and product-minded engineering. Notably, he has a track record of turning research prototypes (Mask R-CNN extensions, simulated depth training) into robust, evaluable pipelines and optimizing data-heavy systems at scale.
11 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Computer Science, Bachelor’s Degree Computer Science at University of California, Berkeley
Lincoln-Sudbury Regional High School
English, Chinese