Aashish Sheshadri
Machine Learning Architect (Sr MTS) at PayPal
San Jose, California, United States
Summary
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Senior🎓
Top SchoolAashish Sheshadri is a Machine Learning Architect with 12 years at PayPal, specializing in productionizing deep learning and ML-driven infrastructure across cloud, data, and developer platforms. He leads platform-level ML initiatives—autoscaling, autonomous remediation, capacity planning, and MLOps—for thousands of services, delivering measurable cost savings ( ~25% cloud reduction) while preserving five-nines availability. His work spans time series forecasting, RL-driven autoscalers, throughput optimization, and autonomous outlier detection with remediation, and he has a track record of enabling enterprise ML via Kubernetes-based notebooks and shared HPC access. Earlier research roles include inventing fast hashing primitives (FASH64/FASH256) and contributing to novel protocols and RNGs, reflecting a blend of applied research and systems engineering. Based in San Jose, he combines deep architectural thinking with hands-on implementation—occasionally bridging quantum relevance and NLP (BERT-era) defenses for information security.
12 years of coding experience
8 years of employment as a software developer
Master's Degree Computer Science, Master's Degree Computer Science at The University of Texas at AustinBachelor's Degree Telecommunication / Electronics and Communication, Bachelor's Degree Telecommunication / Electronics and Communication at Visvesvaraya Technological UniversityNational Academy for LearningVisiting Scholar Computer Science, Visiting Scholar Computer Science at Carnegie Mellon University
English, Kannada, Hindi, Telugu, Tamil
Stackoverflow
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Github Skills (35)
minikube9
k8s8
installer8
kubernetes8
notebook8
jupyter8
square7
nodejs7
machine-learning7
go7
user-experience6
tensorflow6
robustness6
kubeflow6
quality-assurance6
Programming languages (4)
Github contributions (5)
paypal/seifnode
Feb 2016 - May 2017
Contributions:16 commits, 12 PRs, 15 pushes in 1 year 3 months
utir/square
Aug 2013 - Oct 2015
Contributions:10 commits, 2 PRs, 4 pushes in 2 years 2 months
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