Aneesh Shetty
Deep Learning Engineer at Amazon Web Services (AWS)
Greater Seattle Area United States
Summary
👤
Senior🎓
Top SchoolAneesh Shetty is a Deep Learning Engineer with 8 years of experience applying LLMs, reinforcement learning, and graph neural networks to real-world systems across industry and academia. Currently at AWS Annapurna Labs, he blends production engineering with applied research, having previously built core PDF and async APIs at Adobe and scalable benchmarking and scheduler systems at Amazon. His research at UT Austin spans interpretable recommender systems, healthcare recommendations, and provable RL policies for social navigation, reflecting a rare mix of theory and deployment. Early work on India’s Aarogya Setu contact-tracing model helped trace millions and informed privacy-conscious, deployable designs—an example of impact at national scale. He holds a CS MS from UT Austin and a BTech from IIT Bombay, and is comfortable moving between C++/V8 bindings, deep learning models, and cloud-native infrastructure. Colleagues value him for shipping rigorous, production-ready ML systems that arise from strong formal foundations.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at The University of Texas at AustinIndian Institute of Technology Bombay
English, Hindi
Stackoverflow
31reputation
404reached
0answers
1question
Github Skills (5)
robotics6
android-app-bundle6
android6
firebase6
firebase-app-distribution6
Programming languages (5)
Github contributions (5)
aneesh-kaitou1412/SPC-Project
Oct 2018 - Nov 2018
Contributions:49 commits, 32 pushes, 2 branches in 27 days
aneeshk1412/ltl-cegis
Oct 2022 - Mar 2023
Introductory code for CEGIS for LTL properties applied to Robotics safety and liveness properties
Contributions:120 commits, 15 PRs, 105 pushes in 5 months
roboticsltlpropertiesrobotics-safetyintroductory
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