Di Zhang is a Senior Software Engineer in San Francisco with 9 years of experience building high-performance ML infrastructure and production-grade models. He combines deep C++/MPI expertise—demonstrated by the Angora electromagnetic simulator that scales to a million CPU cores—with practical ML work in Python to deliver scalable, fault-tolerant platforms. At Wise.io (GE Digital) he supported 15+ production models for industrial predictive maintenance, and at Mastercard he continues to apply that systems-first mindset to core infrastructure. His background as a PhD in computational optics informs unusually strong numerical and parallel-computing skills, enabling both low-level performance tuning and high-accuracy ML solutions for large sensor datasets.
9 years of coding experience
1 year of employment as a software developer
Bachelor's Degree, Electrical and Computer Engineering, GPA ranked top 2%, Bachelor's Degree, Electrical and Computer Engineering, GPA ranked top 2% at Beijing Jiaotong University
Doctor of Philosophy (Ph.D.), Computational Optics, Doctor of Philosophy (Ph.D.), Computational Optics at Northwestern University
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