Summary
Zhining Zhou is a Senior Software Engineer in San Francisco with 10 years of experience building large-scale data and ML systems, currently applying Manufacturing AI at Google after five years on Google Cloud’s Supply Chain Risk Management. He holds an MISM-BIDA from Carnegie Mellon and a BS in Industrial and Operations Engineering from the University of Michigan, blending rigorous analytics with practical engineering. His technical strengths span Hadoop, Spark, Cassandra, Kafka and end-to-end ML (deep learning, NLP, reinforcement learning) implemented in Java, Python, C++ and SQL. Past roles include research on Kalman-filter forecasting for medical monitoring and optimization R&D for paid search, reflecting a pattern of turning complex mathematical models into production-ready solutions. Comfortable across distributed systems, optimization and data engineering, he brings both academic depth and startup-style execution to large enterprise challenges. An understated detail: his career threads show repeated success translating research prototypes into scalable cloud services.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Science - BS Industrial and Operations Engineering, Bachelor of Science - BS Industrial and Operations Engineering at University of Michigan
Master's degree Business Intelligence and Data Analytics, Master's degree Business Intelligence and Data Analytics at Carnegie Mellon University