Gennady Pekhimenko is a seasoned systems and AI software leader with 12+ years of experience bridging industry and academia, currently Senior Director of AI Software at NVIDIA and an Associate Professor at the University of Toronto. He has led research and product efforts across Microsoft, Amazon, NVIDIA, Google, Intel and IBM, uncovering real-world inefficiencies in GPU utilization that inspired the creation of CentML to optimize training and inference costs. As a founding member of MLPerf and Research Co-Chair at MLCommons, he shapes benchmarking and ecosystem standards for ML performance. His academic work focuses on efficient memory systems and ML hardware acceleration, reflected in numerous publications and roles at the Vector Institute and CIFAR. Unusually, his career arc spans deep compiler and architecture roots (from IBM and Qualcomm projects) through entrepreneurial productization, giving him rare end-to-end expertise in squeezing more value from existing AI infrastructure.
12 years of coding experience
21 years of employment as a software developer
Bachelor / Part-time Biochemistry, Bachelor / Part-time Biochemistry at Taurida 'V. I. Vernadskiy' National University, Simferopol
High School, High School at Simferopol School #7
MSc. Computer Science, MSc. Computer Science at University of Toronto
PhD Computer Science, PhD Computer Science at Carnegie Mellon University
Contributions:6 commits, 5 pushes, 1 branch in 1 day
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Gennady Pekhimenko - Senior Director, AI Software at MLPerf