Xianglong Li is a software engineer in San Francisco with a decade of experience building GenAI products and Android applications. He has applied ML and NLP expertise across production systems—shipping chatbots, audience recommendation, creative generation, and meeting-action extraction pipelines. At StackAdapt he focused on neural network optimization for user action prediction and contextual targeting, and he currently builds GenAI capabilities at Databricks. His background blends strong academic training (MS, Yale; BS, Michigan and Rose‑Hulman) with practical product work including data logging and visualization for automotive testing and SEO standardization at Baidu. Comfortable moving models from research to production, he pairs hands-on engineering with a knack for turning conversational data into actionable features. An understated strength is his cross-domain fluency: mobile/Android roots inform robust end-to-end system design for modern ML products.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS Computer Science and Data Science, Bachelor of Science - BS Computer Science and Data Science at University of Michigan
High School Diploma High School/Secondary Diplomas and Certificates, High School Diploma High School/Secondary Diplomas and Certificates at The High School Affiliated to Renmin University of China
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Yale University
Bachelor of Science - BS Computer Science, Bachelor of Science - BS Computer Science at Rose-Hulman Institute of Technology
A powerful media play framework for iOS, macOS, and tvOS. Fork from SGPlayer use newer ffmpeg.
Contributions:1 release, 12 pushes, 2 branches in 17 days
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