Madhur Prashant
Product & Engineering at Amazon Web Services (AWS)
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolMadhur 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.
3 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science and Cognitive Psychology, Bachelor's degree, Computer Science and Cognitive Psychology at Northeastern UniversityThe Shri Ram school Aravali
inkling
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (19)
benchmark10
langchain10
amazon-bedrock10
benchmarking10
generative-ai10
foundation-models10
g510
sagemaker9
amazon-ec28
aws5
pytorch5
docker5
machine-learning4
tensorflow4
deep-learning3
Programming languages (3)
Github contributions (5)
madhurprash/foundation-model-benchmarking-tool-old
Aug 2024 - Mar 2025
Foundation model benchmarking tool. Run any model on any AWS platform and benchmark for performance across instance type and serving stack options.
Contributions:351 pushes, 6 branches in 6 months
aws-samples/mlops-pipeline-prestodb
Feb 2024 - Jun 2024
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
mlopsprestodbsagemakersagemaker-pipelines
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