Summary
Zhiwei Chen is a Senior Machine Learning Engineer in San Jose with 12 years of software and ML experience, currently focused on large-scale news recommendation and personalization for The Roku Channel. He designs hybrid recommender systems that fuse interaction signals, user and item features, and contextual data—drawing on ideas from StarSpace and Wide&Deep—to deliver measurable CTR gains across 3+ million users while handling cold-starts effectively. Comfortable taking models from research to production, he writes PyTorch models, Spark pipelines, and SOA deployment services, and has built offline evaluation and A/B testing frameworks to iterate quickly. His background spans distributed systems and high‑throughput architectures at Yihaodian and Huawei, giving him a rare combination of ML modeling depth and production reliability. He’s also contributed backend enhancements to the widely used WikiExtractor tool, improving category filtering, UTF-8 handling, and logging for large-scale text extraction.
12 years of coding experience
10 years of employment as a software developer
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Florida State University
Bachelor’s Degree, Microeletronics, Bachelor’s Degree, Microeletronics at Sun Yat-Sen University
English, Chinese