Shauharda Khadka
Senior Data & Applied Scientist
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolShauharda 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 SchoolDoctor of Philosophy (Ph.D.), Robotics, Doctor of Philosophy (Ph.D.), Robotics at Oregon State UniversityBachelor of Science (BSc), Engineering Physics, 3.96, Bachelor of Science (BSc), Engineering Physics, 3.96 at Ramapo College of New Jersey
English, Nepali, Hindi
Github Skills (4)
erl10
reinforcement-learning8
apollo3
grid-world1
Programming languages (2)
Github contributions (5)
ShawK91/Evolutionary-Reinforcement-Learning
Oct 2018 - May 2020
Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018
Contributions:11 commits, 11 pushes, 2 branches in 1 year 7 months
erlreinforcement-learning
ShawK91/MERL
Jan 2019 - May 2019
Contributions:181 commits in 3 months
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