Summary
Michael Zhang is a senior data architect and Ph.D. computer scientist with nine years in data architecture roles and over two decades building high-performance systems across finance, national labs, and telecom. He designs and implements large-scale data warehouses, ETL pipelines, and BI reporting—specializing in C/C++, Python, Unix tooling, and mission-critical financial data processing for multi-terabyte environments. Known as a technical leader and reliable problem-solver, he has led teams to deliver efficient, bug-free data transformations and secure client-server middleware. At Argonne National Laboratory he applies these skills to data mining and enterprise BI, bringing research-grade rigor from his doctoral training to practical, on-time implementations. An often-overlooked strength is his embedded-systems and device-driver background, which gives him a systems-level perspective when tuning performance and reliability in data platforms.
9 years of coding experience
14 years of employment as a software developer
Ph.D, Computer Science, Ph.D, Computer Science at Illinois Institute of Technology
BS, MS, Computer Science, BS, MS, Computer Science at Tsinghua University