Len Huang is a software engineer based in New York with 8 years of experience building end-to-end products and applying AI at the application layer. Currently on an agentic capabilities team at a Series B health tech startup, he develops durable backend tooling that automates complex workflows across EHRs and payer portals to improve revenue cycle management. Previously at StubHub he led cross-team engineering efforts and ran hundreds of conversion-focused A/B experiments, shipping features that recovered significant revenue and streamlined checkout performance. He has a track record of practical automation—reducing developer toil, halving deployment times, and creating fraud-bypassing models for trusted users—paired with hands-on product sensibilities from internships at Amazon and Gopuff. Outside work he prototypes AI-driven consumer apps, including a Duolingo-style LeetCode trainer and a comedic group chat audio summarizer, demonstrating a knack for playful, user-focused ML applications.
8 years of coding experience
3 years of employment as a software developer
4.53, 4.53 at Holmdel High School
Bachelor of Science - BS, Computer Science, 3.53 (University Honors), Bachelor of Science - BS, Computer Science, 3.53 (University Honors) at Carnegie Mellon University
PyTorch hackathon submission for a full page image to LaTeX converter
Contributions:66 commits, 24 PRs, 66 pushes in 1 month
pytorchfull-pagelatexconverter
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