Vikas Kumar is a Staff Software Engineer II with 10 years of experience building large-scale systems, specializing in control planes, dataplanes, storage layers, and ML infrastructure including feature stores, training, and observability. He has driven ML infrastructure initiatives at Etsy and AWS—contributing to SageMaker Debugger/Profiler and dynamic distributed training—while earlier work at Facebook and AWS focused on disaster recovery, telemetry, and Redshift control/data planes. Comfortable across databases, service discovery, and data pipelines, he pairs deep systems engineering with a knack for making complex infrastructure usable for teams. Based in Leander, Texas, he’s passionate about empowering engineers and has a track record of reducing cost and improving resilience in production ML clusters. An under-the-radar strength is his blend of low-level protocol and storage optimization experience with pragmatic feature delivery for ML platforms.
10 years of coding experience
13 years of employment as a software developer
B.Tech, IT, B.Tech, IT at Indian Institute of Information Technology
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Contributions:31 pushes, 6 branches in 9 months
pythonschedulerdataflowmutationdata-science
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