Xin Chen is a seasoned AI and infrastructure engineer with 9 years of experience building large-scale deep learning, inference acceleration, and data infrastructure for production systems. Based in San Jose, he currently works on CVML at Apple after leading AI compiler, model inference, and performance optimization efforts as Tech Lead Manager at WeRide.ai. Previously he built end-to-end applied ML and feature pipelines at DiDi that processed 100M+ entities and supported 10M+ orders per day, blending NLP, graph algorithms, and classical ML models into reliable serving systems. His background includes Android tooling and CI/CD work at Google and ML-driven security research at Palo Alto Networks, reflecting a breadth from low-level infra to applied ML. Holder of a Ph.D. in Computer Science, he combines research rigor with hands-on engineering and team growth experience. An understated strength is his track record of translating complex, high-throughput data problems into efficient, production-ready pipelines across global products.
This repo will develop and extend the project we developed in InsomniHack 2018
Contributions:21 PRs, 28 pushes, 19 branches in 2 months
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