Summary
Xiaobo P is a tech lead and staff data scientist with 11 years of experience building large-scale ML systems, feature pipelines, and distributed data platforms across top-tier companies like Walmart Global Tech, Zoom, eBay, Twitter, Yahoo, and Microsoft. He blends research-grade ML (PyTorch, TensorFlow, XGBoost) with production distributed engineering (Spark, Hadoop, Kafka, Redis, Cassandra) to deliver relevance, ranking, and adtech solutions at scale. His background spans founding a machine-learning-driven startup to leading production anti-spam and trust-and-safety systems, showing a rare mix of product intuition and low-level systems expertise. Comfortable across Java, Python, Scala and C/C++, he often bridges model development and service design—shipping RESTful/gRPC/GraphQL endpoints and robust data pipelines. Based in Beijing and holding a PhD-level academic foundation, he quietly specializes in turning experimental ML prototypes into high-throughput, maintainable production services.
11 years of coding experience
13 years of employment as a software developer
Ph D, Computer Science, 4.0, Ph D, Computer Science, 4.0 at University of North Texas