Anish E is a software engineer with nine years of experience focused on scaling ML workloads and building reliable systems, currently at Rubrik after recent roles at VMware and OPPO. His MS thesis, "Rethinking Serverless for ML Inference," and ML research published at ICCS reflect a research-driven approach to production problems. He has deep systems experience—from ESXi user-space services and time-series persistence to Android WLAN stack improvements—and a track record of improving stability, efficiency, and observability at scale. A two-time NSS Top 30 competitor at ICPC Mid Atlantic Regionals, he combines competitive problem-solving with practical engineering and teaching experience from Virginia Tech. Based in Sunnyvale, he blends academic rigor with hands-on product work to move ML inference and infrastructure from prototype to production.
9 years of coding experience
2 years of employment as a software developer
BITS Pilani, Birla Institute of Technology and Science
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Virginia Tech
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