Mohan Muppidi
Director Of Machine Learning at SimpliSafe
Boston, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolMohan Muppidi is a Principal Machine Learning Engineer with a decade of experience building cloud-native ML and robotics systems, now leading Cloud ML at SimpliSafe from Boston. He previously architected iRobot’s end-to-end ML platform, led GenAI initiatives using Llama2/Claude/Titan and RAG designs, and built large-scale synthetic image and data pipelines on AWS. Mohan combines hands-on deep learning and computer vision research with production expertise—deploying models via serverless services, Kubeflow on EKS, and custom CI/CD for reproducible training. He has a background in cloud infrastructure and OpenStack from academic work, two patents, and a proven knack for turning spatial robotics research into customer-facing features and feedback-driven data lakes. Notably, he engineered cost-optimized rendering and data platforms that scaled to millions of synthetic images, highlighting a practical focus on scalable, efficient ML engineering.
11 years of coding experience
8 years of employment as a software developer
University of Texas at San AntonioBachelor of Technology (B.Tech.), Bachelor of Technology (B.Tech.) at VNR Vignana Jyothi Institute of Engineering and Technology (VNRVJIET)
English, Hindi, Telugu
Github Skills (45)
python10
machine-learning10
ml10
serverless-applications10
aws-sam10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
jupyter9
serverless-application-model9
google-kubernetes-engine9
notebook9
sam9
kubeflow9
Programming languages (7)
Github contributions (5)
cloudandbigdatalab/OSCAR
Oct 2015 - Dec 2015
OpenStack Configurator for Academic Research (OSCAR)
Contributions:160 commits, 5 PRs, 151 pushes in 2 months
openstack
mmuppidi/notes-cheatsheets
Jan 2016 - Apr 2017
Contributions:66 pushes, 1 branch in 1 year 3 months
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