Yugant Rana is a Senior Software Engineer at Google with six years of experience building high-performance distributed systems and network infrastructure. He holds an MS in Information Networking from Carnegie Mellon and a BTech in Computer Science from NIT Warangal, and brings a strong systems-focused engineering background spanning Borg cluster work, low-level I/O optimizations, and campus networking protocols. At Google he progressed from intern to senior engineer, notably cutting syscall CPU costs by ~50% via UDP GRO/GSO techniques and contributing to Borg. His earlier work at Arista delivered measurable operational wins—autonomous router maintenance that reduced traffic loss by 95% and an 85% drop in BGP control traffic through selective route-table updates. Comfortable across kernel-adjacent performance tuning, network protocols, and cloud-scale orchestration, he combines research-caliber training with production-hardened delivery. He often clusters complex protocol standards into pragmatic implementations, balancing standards compliance with operational impact.
6 years of coding experience
6 years of employment as a software developer
Bachelor of Technology - BTech Computer Science and Engineering, Bachelor of Technology - BTech Computer Science and Engineering at National Institute of Technology Warangal
Master of Science - MS Information Networking, Master of Science - MS Information Networking at Carnegie Mellon University
Training & Inference Code of PRNet in PyTorch 1.1.0
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