Summary
Tom Li is a Senior Software Engineer with 11 years of experience, combining a UC Berkeley CS & Statistics background with production experience across startups and large tech. He spent seven years as a generalist at Affinity building full-stack systems and now ships product-focused engineering at Pomelo Care. His early work includes building large-scale regression-detection services at Amazon Lab126 that ran statistical hypothesis tests over millions of device metrics, and research experience applying 3D convolutional neural networks for medical image segmentation. Comfortable across backend, data analysis, and ML-infused projects, he has a track record of turning statistical insight into maintainable services and user-facing dashboards. Based in California, Tom blends rigorous quantitative thinking with practical engineering to deliver reliable, data-driven features.
11 years of coding experience
7 years of employment as a software developer
Bachelor’s Degree Computer Science and Statistics, Bachelor’s Degree Computer Science and Statistics at University of California, Berkeley
Chinese, English