Anant Shah is a Senior Research Scientist with a decade of experience designing and optimizing large-scale distributed systems and global CDNs, currently shaping Netflix’s streaming and gaming infrastructure. His work blends hands-on architecture—leading edge services like XDP load balancers and GPU clusters for edge ML—with research-grade telemetry and TCP performance tuning developed at Verizon and Edgecast. He has a PhD in Computer Science and a track record of shipping ML-driven automation (automated canary analysis, dynamic congestion-control switching) that bridges network reliability and production deployment. Anant moves fluently between packet-level Internet measurements and system-level design, having built traceroute anomaly detectors and video QoE inference pipelines used during major live events. Colleagues know him for turning complex routing and performance insights into operational roadmaps across multi-team organizations. Based in Los Angeles, he pairs rigorous academic training with pragmatic engineering to improve real-time content delivery at global scale.
10 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (PhD) Computer Science, Doctor of Philosophy (PhD) Computer Science at Colorado State University
Bachelor of Engineering Thadomal Shahani Engineering College Information Technology, Bachelor of Engineering Thadomal Shahani Engineering College Information Technology at University of Mumbai
Contributions:5 commits, 110 pushes, 1 branch in 6 days
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