Rahul Kumar

Principal Architect at McKinsey & Company

Karnataka, India
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Summary

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Rahul Kumar is a Principal Architect at QuantumBlack, AI by McKinsey, with 10 years of experience designing scalable data pipelines and production ML platforms across AWS, Azure and GCP. He progressed through multiple delivery and architecture roles at McKinsey/QuantumBlack, blending hands-on MLOps, big data engineering and NLP expertise to bring models from research into business impact. A former DRDO intern who worked on deep learning and robotics, he pairs rigorous academic foundations with practical cloud-native engineering, and holds several Udacity nanodegrees in DL and NLP. Known for winning hackathons and technical awards, he is a collaborative leader who prioritizes creativity, cross-cultural teamwork and continuous learning while driving enterprise AI adoption.
code10 years of coding experience
job3 years of employment as a software developer
bookDAV Public School, NTS Barkakana
bookBachelor of Engineering (BE) Computer Science, Bachelor of Engineering (BE) Computer Science at B. M. S. College of Engineering
languagesEnglish, Hindi
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41questions
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Github Skills (200)

postgresql10
python10
windows10
swagger10
kedro10
mlops10
agentic-workflow10
rest-api10
agentic-ai10
operator10
spreadsheet10
linux10
kubernetes-operator10
daemonset10
shell10

Programming languages (21)

SmartyC#JavaCSSRustGoMustacheHTML

Github contributions (5)

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debugger24/pyspark-test

Oct 2020 - Oct 2021

Testing library for pyspark, inspired from pandas testing module but for pyspark, to help users write unit tests.
Contributions:4 releases, 1 review, 41 commits in 1 year
pandaspysparktestingtesting-libraryunit-test
Github Action for running commands on Linux or Windows machine managed using SSM
Contributions:21 commits, 8 PRs, 11 pushes in 1 day
linuxssmwindowsawsaws-ssm
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