Summary
Shehbaz Jaffer is a software engineer with 13 years of industry and research experience, currently improving performance and resource management for large language model training and serving on Google’s TPUs. He pairs production-grade systems work in C++ and Python with deep storage and reliability expertise from a PhD at the University of Toronto, where his research yielded award-winning SSD coding schemes and multiple patents. Past roles at NetApp and VMware show a consistent focus on storage internals, filesystems, erasure coding, and simulator tooling, while early career work delivered high-availability ad-serving infrastructure. Shehbaz is equally comfortable in low-level systems optimization and large-scale ML infrastructure, and has a track record of translating academic innovations into practical, patented solutions. Based in Irvine, CA, he brings both cross-team coordination experience and an unusual combination of SSD reliability research plus hands-on TPU performance engineering.
13 years of coding experience
3 years of employment as a software developer
HSC, HSC at The Army Public School, Pune, Maharashtra, India
Doctor of Philosophy - PhD, Doctor of Philosophy - PhD at University of Toronto
SSC, SSC at DAV Public school, BSEB Colony, Patna, Bihar, India
Army School, Ha, Haa District, Bhutan
MTech, MTech at IIT Delhi
Army Public School, Udhampur, J&K, India
BE, BE at Savitribai Phule Pune University
Sacred Heart Convent School, Sri Ganga Nagar, Rajasthan, India
The Air Force School, Hasimara, West Bengal, India
Hindi, English