Madhur Prashant

Product & Engineering at Amazon Web Services (AWS)

New York, New York, United States
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Summary

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Rockstar
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Madhur Prashant is a product-focused engineering leader specializing in agentic and generative AI, currently building agent products at Antimetal after leading agentic AI solutions for AWS’s largest strategic customers. He combines research, customer engineering, and open-source enablement—authoring and co-authoring projects like FMBench and multiple AWS sample repos that have driven PoCs into production and contributed to significant ARR. With a background spanning startups, cloud platforms, and product management, he thrives in ambiguous, high-velocity environments and obsessively optimizes for user-centric, safe generative AI. Trained in both computer science and cognitive psychology, he brings a human-centered lens to automation and agent design, plus a founder’s appetite for experimentation and rapid learning.
code3 years of coding experience
job5 years of employment as a software developer
bookBachelor's degree, Computer Science and Cognitive Psychology, Bachelor's degree, Computer Science and Cognitive Psychology at Northeastern University
bookThe Shri Ram school Aravali
languagesinkling
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Stackoverflow

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Github Skills (50)

benchmark10
amazon-bedrock10
benchmarking10
sagemaker10
generative-ai10
foundation-models10
instance-type10
g510
langchain9
okta9
aws9
amazon-ec28
amazon-sagemaker8
amazon-web-services8
agentic8

Programming languages (4)

TypeScriptHTMLJupyter NotebookPython

Github contributions (5)

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Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.
Contributions:355 pushes, 6 branches in 7 months
An end-to-end MLOps pipeline that reads data from PrestoDB to train an ML model and deploy on SageMaker for batch and realtime inference.
Contributions:1 review, 3 PRs, 74 pushes in 3 months
inferencemlmodelmlopsprestodbsagemaker
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