Kartik Mathur

Director Of Engineering - AI Infrastructure at Snorkel AI

San Francisco, California, United States
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Summary

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Kartik Mathur is a seasoned engineering leader specializing in AI infrastructure and MLOps with over 15 years of software engineering experience and a decade-plus in leadership roles across startups and enterprise. Currently Director of Engineering for AI Infrastructure at Snorkel AI, he has led teams building scalable model serving, deployment, registry, and monitoring platforms at Domino Data Lab and HPE. Kartik combines deep systems and distributed-systems expertise—Kubernetes multi-tenancy, container orchestration, and storage-aware scheduling—with a track record of shipping production ML platforms and a granted patent for model injection. Known for building high-performing, inclusive teams, he translates research collaborations into pragmatic product roadmaps and clear cross-functional communication. Based in San Francisco, he blends hands-on engineering with strategic planning to take ML workloads from prototype to reliable, multi-tenant production. An uncommon thread in his career is repeated success integrating big-data stack performance tuning with containerized ML deployment at scale.
code9 years of coding experience
job14 years of employment as a software developer
bookMaster of Science Computer Science, Master of Science Computer Science at Indiana University Bloomington
bookBachelor of Engineering (B.E.) Information Technology, Bachelor of Engineering (B.E.) Information Technology at Pune Institute of Computer Technology
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Stackoverflow

Stats
21reputation
248reached
0answers
1question
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Github Skills (8)

kubernetes-deployment10
director10
deploying10
k8s9
kubernetes9
valgrind6
assembly6
x866

Programming languages (4)

ShellGoJupyter NotebookPython

Github contributions (5)

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kmathur2/JavaMisc

Dec 2016 - Feb 2018

Contributions:6 commits, 7 pushes in 1 year 2 months
kmathur2/kubedirector

Jan 2019 - Jun 2019

Contributions:3 pushes, 3 branches in 5 months
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Kartik Mathur - Director Of Engineering - AI Infrastructure at Snorkel AI