Shauharda Khadka is a Senior Data & Applied Scientist in New York with a decade of experience applying deep reinforcement learning, generative models, and large-scale ML to robotics, multiagent systems, and cybersecurity. At Microsoft he designs and ships production-grade models serving hundreds of billions of Defender queries daily and led caching innovations that cut cloud load by 15% while preserving protection quality. His research pedigree includes ICML publications on multiagent and evolutionary RL from Intel and a Ph.D. in Robotics from Oregon State, bridging cutting-edge R&D with operational security systems. Comfortable working from TBs/day telemetry to production pipelines, he blends academic rigor with measurable cloud cost and resiliency wins. An underappreciated strength is his history of building memory-augmented multiagent systems and neuroevolutionary tools that enable rapid one-shot adaptation in adversarial settings.
10 years of coding experience
9 years of employment as a software developer
Cambridge GCE A-Level, Science, Cambridge GCE A-Level, Science at Budhanilkantha School
Doctor of Philosophy (Ph.D.), Robotics, Doctor of Philosophy (Ph.D.), Robotics at Oregon State University
Bachelor of Science (BSc), Engineering Physics, 3.96, Bachelor of Science (BSc), Engineering Physics, 3.96 at Ramapo College of New Jersey
Contributions:11 commits, 11 pushes, 2 branches in 1 year 7 months
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Shauharda Khadka - Senior Data & Applied Scientist