Ashish Khetan
Applied Science Manager at Amazon Web Services (AWS)
California, United States
Summary
🤩
Rockstar🎓
Top SchoolAshish Khetan is a senior manager in Applied Science at Amazon Web Services leading inference optimization for large language models on AWS Bedrock, with nine years of experience bridging research and production. He specializes in machine learning systems, model compression, and hardware-aware optimization to make generative models faster, more efficient, and cost-effective at scale. Ashish’s background includes a PhD in Operations Research and dual master’s degrees from UIUC, giving him a rigorous foundation in probabilistic modeling and systems optimization. He has progressed through technical and leadership roles at AWS since 2017, consistently delivering performance innovations across foundational AI infrastructure. Colleagues value his ability to translate cutting-edge research into production-grade solutions that serve diverse industries. Based in California, he combines deep academic training with hands-on systems engineering to tackle the practical challenges of deploying advanced AI.
9 years of coding experience
13 years of employment as a software developer
Bachelor’s Degree Mechanical Engineering, Bachelor’s Degree Mechanical Engineering at Indian Institute of Technology, GuwahatiDoctor of Philosophy (Ph.D.) Operations Research, Doctor of Philosophy (Ph.D.) Operations Research at University of Illinois Urbana-Champaign
Github Skills (31)
python10
machine-learning-models10
jupyter10
data-science10
machine-learning10
inference10
reinforcement-learning10
sagemaker10
amazon-sagemaker10
mlops10
deep-learning10
aws10
jupyter-notebook10
amazon10
action-recognition9
Programming languages (3)
Github contributions (5)
khetan2/MBEM
Feb 2018 - Feb 2018
Contributions:56 commits, 50 pushes, 1 branch in 1 day
khetan2/amazon-sagemaker-examples
Mar 2022 - Aug 2022
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Contributions:14 pushes, 8 branches in 5 months
sagemakerpythonamazon-sagemakermachine-learning-deploydata-science
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