Mohammed Qudsi

Chicago, Illinois, Canada
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Summary

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Mohammed Qudsi is an ML Infrastructure Engineer with 15 years of experience building cloud-native, DevOps, and SRE solutions, now focused on GenAI infrastructure at LipDub AI. He has designed and operated large-scale ML platforms on AWS and GCP using Kubernetes, Kafka, Spark, Flink, and Airflow, and built automated alerting and Python-driven tooling to improve cluster health and resource efficiency. His work at Infosys includes cost-saving cloud automation, CI/CD modernization, and production-ready ML model deployments, alongside research projects in quantum optimization and quantum ML. Mohammed combines hands-on engineering with training and mentoring experience, having published courses and guided interns through capstone projects. Based in Chicago with roots in Canada, he pairs an MTech in AI/ML with practical systems expertise that spans serverless architectures to real-time streaming. A less obvious strength is his hybrid background bridging bleeding-edge research (quantum computing) with pragmatic operational improvements that saved millions in compute costs.
code15 years of coding experience
bookBITS Pilani, Birla Institute of Technology and Science
bookBachelor of Engineering - BE, Bachelor of Engineering - BE at PES University
bookCertificate, Quantum Computing, Certificate, Quantum Computing at Frontier Technology Institute
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Github Skills (200)

woocommerce10
benchmark10
linq10
proxy10
htmx10
vim10
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visual-studio10
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Programming languages (32)

C#CCMakeMakefileGoHTMLJSONTypeScript

Github contributions (5)

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Strongly-typed enumerations of countries and other geographical data for C#
Contributions:1 PR, 4 pushes, 1 branch in 3 years
csharpstrongly-typed
neosmart/SecureStore

May 2015 - Dec 2022

A .NET implementation of the cross-platform SecureStore (symmetrically-encrypted secrets) protocol
Contributions:1 review, 110 commits, 5 PRs in 7 years 8 months
dotnetsecretssecret-managementasp-net-coreencryption
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