Anant Vyas is a Senior Staff Software Engineer in San Francisco with a decade of experience building resilient, self-managing infrastructure and production ML systems. At Uber since 2015 he has progressed from core infrastructure to leading real-time inference and training/serving platform efforts, including work on cluster scheduling and Peloton-style resource management. He combines deep systems and scalability expertise from roles at Salesforce and early datacenter automation at Lucasfilm with hands-on platform design that enables self-healing, self-scaling deployments. Known for operating at the intersection of compute infrastructure and ML platforms, he focuses on making complex distributed systems reliable and easy to operate at massive scale.
10 years of coding experience
9 years of employment as a software developer
Bachelor of Engineering, Information Technology, Bachelor of Engineering, Information Technology at Shri G.S Institute of Technology and Science
Masters of Science, Computer Science, Masters of Science, Computer Science at University of California, Irvine
Unified Resource Scheduler to co-schedule mixed types of workloads such as batch, stateless and stateful jobs in a single cluster for better resource utilization.
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Anant Vyas - Senior Staff Software Engineer at Uber