Srinivasan Parthasarathy
Principal Research Scientist And Manager, AI Platform Optimization
Town of Yorktown, New York, United States
Summary
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Senior🎓
Top SchoolSrinivasan Parthasarathy is a Principal Research Scientist and manager who leads global teams at IBM to build and optimize next-generation GenAI platforms for inference, fine-tuning, and training across hybrid cloud and Red Hat environments. With a PhD in Computer Science and two decades of research and industry experience, he combines deep expertise in machine learning, stochastic and Bayesian optimization, online/bandit learning, and MLOps to deliver scalable AI solutions for DevSecOps, cybersecurity, and compliance automation. He has a strong track record of translating foundational research—spanning online experimentation, stream learning, and large-scale data exploration—into production-ready systems used by enterprise customers. Based in Yorktown, NY, he directs cross-site teams in the US, Israel, and India, blending academic rigor with practical engineering to tackle real-world risk and reliability challenges. Notably, his work emphasizes automated hyper-parameter and blackbox optimization at scale, helping bridge research advances with cloud-native deployment and operational constraints.
10 years of coding experience
9 years of employment as a software developer
Indian Institute of Technology MadrasPhD, Computer Science, PhD, Computer Science at University of Maryland
Github Skills (137)
xgboost10
kubeflow10
model-management10
standardized10
hpa10
sklearn10
mlops10
istio10
serverless10
paas10
k8s10
load-testing10
echo-server10
service-mesh10
faas10
Programming languages (11)
Github contributions (5)
iter8-tools/iter8
Dec 2019 - Dec 2022
Kubernetes release optimizer
Contributions:3 releases, 626 reviews, 506 commits in 2 years 11 months
load-testinggrpcrolloutab-testingkubernetes
iter8-tools/docs
Feb 2022 - Oct 2022
Iter8 documentation
Contributions:149 reviews, 69 commits, 98 PRs in 8 months
documentation-site
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