Karan Joshi

Lead Machine Learning Engineer at Ask Media Group

San Francisco Bay Area United States
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Summary

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Karan Joshi is a Lead Machine Learning Engineer based in the San Francisco Bay Area with a decade-long trajectory building and scaling production AI/ML systems across media and enterprise domains. He advanced from data science and research roles into senior ML engineering leadership at Ask Media Group, driving end-to-end model deployment and operationalization since 2019. His background blends an M.S. in Computer Engineering with hands-on experience in embedded and engineering internships, giving him a practical appreciation for systems-level constraints and performance tuning. Known for translating research into reliable production pipelines, he has delivered at both startup pace and within larger corporate teams like Commvault. A detail that stands out: alongside ML leadership he lists product-oriented involvement (Associate Product Manager on GitHub), highlighting his knack for aligning models with customer-facing product priorities.
code3 years of coding experience
job9 years of employment as a software developer
bookBachelor of Engineering (B.E.) Electronics and Communications Engineering, Bachelor of Engineering (B.E.) Electronics and Communications Engineering at PEC University of Technology, Chandigarh
bookMaster of Science (M.S.) Computer Engineering, Master of Science (M.S.) Computer Engineering at Stony Brook University
languagesSanskrit, Hindi, Punjabi, English
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Github Skills (16)

jetbrains10
jira10
trello10
backlog9
code-review9
vscode9
explore9
newrelic9
gitlab9
asciidoc8
bitbucket8
github7
docker7
open-source6
documentation6

Programming languages (5)

TypeScriptMDXJavaJavaScriptPython

Github contributions (5)

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kjoshi31/PythonDemo

Aug 2022 - Nov 2022

This is a demo python application used for testing CodeStream
Contributions:11 reviews, 14 PRs, 9 pushes in 3 months
python-applicationtestingpythonpython-demo
kjoshi31/docs-website

Jul 2022 - Jul 2022

Source code and public issue backlog for @newrelic docs. We welcome feedback on the docs in GitHub issues!
Contributions:1 push in 1 day
newrelicfeedbackbacklogwelcome
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