Mohan Muppidi
Principal Machine Learning Engineer at SimpliSafe
Boston, Massachusetts, United States
Summary
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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.
10 years of coding experience
9 years of employment as a software developer
University of Texas at San AntonioBachelor of Technology (B.Tech.) Electronics and Instrumentation Engineering, Bachelor of Technology (B.Tech.) Electronics and Instrumentation Engineering at VNR Vignana Jyothi Institute of Engineering and Technology (VNRVJIET)
English, Hindi, Telugu
Github Skills (52)
notebook10
python10
jupyter10
data-science10
machine-learning10
ml10
deep-learning10
tensorflow10
deep-neural-networks10
neural-network10
lambda10
configurator10
serverless-application-model9
google-kubernetes-engine9
sam9
Programming languages (8)
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
configuratoracademic-researchopenstack
mmuppidi/notes-cheatsheets
Jan 2016 - Apr 2017
Contributions:66 pushes, 1 branch in 1 year 3 months
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