Machine Learning Engineer, Backend at Palantir Technologies
New York, New York, United States
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Summary
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Yash Jakhotiya is a Machine Learning Engineer specializing in production ML and backend systems, currently building enterprise AI workflows at Palantir after completing a master's in CS (ML) at Georgia Tech. He blends research experience in continual learning, novel category discovery, and LLM editing with hands-on applied work—shipping augmented-reality visual search features at Amazon and automations deployed to production at D. E. Shaw. Comfortable spanning product and engineering, he contributes generalized solutions back into product to scale bespoke customer integrations. His background includes Kubernetes-focused ML deployment work through Google Summer of Code and sequence-to-sequence GAN research at IISc, reflecting an ability to move ideas from prototype to production. Based in New York with nine years of industry experience, he’s particularly focused on the practical challenges of LLM research in real-world systems.
9 years of coding experience
4 years of employment as a software developer
Master's degree - Computer Science Machine Learning, Master's degree - Computer Science Machine Learning at Georgia Institute of Technology
Bachelor of Technology - BTech Major: Computer Engineering Minor: Financial Engineering, Bachelor of Technology - BTech Major: Computer Engineering Minor: Financial Engineering at COEP Technological University
Contributions:101 commits, 101 PRs, 99 pushes in 3 years 3 months
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Yash Jakhotiya - Machine Learning Engineer, Backend at Palantir Technologies