Sachin Varghese
Lead ML Engineer - Generative AI Platform
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolSachin Varghese is a Lead ML Engineer specializing in generative AI platforms, with nine years of experience building scalable model-serving, deployment optimization, and MLOps tooling across Europe, India, and the United States. Currently driving the Generative AI Platform at Capital One and leading the GenAI Commons Applications workstream at the Linux Foundation AI & Data, he focuses on secure, open, and efficient GenAI architectures. He brings hands-on experience from Seldon—contributing to the widely used seldon-core project by improving request logging, binary/text handling, and client-generation scripts—bridging open-source work with enterprise-grade production needs. Trained in AI with an MSc from the University of York and specialized Oxford coursework in cloud and edge AI, Sachin pairs academic rigor with practical engineering. Colleagues know him as an open-source advocate who combines strategic platform thinking with low-level implementation details to reduce friction for deploying and monitoring models at scale.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Technology Electronics and Communications Engineering, Bachelor of Technology Electronics and Communications Engineering at National Institute of Technology, GoaMaster of Science - MS Computer Science with Artificial Intelligence, Master of Science - MS Computer Science with Artificial Intelligence at University of YorkArtificial Intelligence: Cloud and Edge Implementations, Artificial Intelligence: Cloud and Edge Implementations at University of Oxford, Department for Continuing Education
English, Hindi, Malayalam
Github Skills (9)
kubernetes10
machine-learning10
logging10
mlops10
python10
kubernetes-pods10
deploying9
dockers7
docker7
Programming languages (10)
Github contributions (5)
SeldonIO/seldon-core
May 2019 - Aug 2022
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Role in this project:
MLOps Engineer
MLOps EngineerContributions:38 reviews, 49 commits, 27 PRs in 3 years 2 months
Contributions summary:Sachin primarily focused on enhancing the seldon-core framework's request logging capabilities. They implemented features to log data types and handle binary strings within the request logger. Furthermore, they updated the logging structure and added support for splitting and processing text types. The user also worked on adding scripts for generating client sets, contributing to the overall infrastructure of the project.
monitorservingdata-sciencedeploymentmachine-learning
SachinVarghese/seldon-core
Dec 2019 - May 2022
Machine Learning Deployment for Kubernetes
Contributions:39 commits, 146 pushes, 32 branches in 2 years 5 months
kubernetes-deploymentdeploymentmachine-learningmlopskubernetes
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