Sitaram Shelke

Pune, Maharashtra, India
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Summary

👤
Senior
Sitaram Shelke is a Senior Site Reliability Engineer with 11 years of experience who blends a full-stack engineering background with deep expertise in backend and cloud infrastructure to build and scale reliable platforms. He has led cloud migrations, observability overhauls, CI/CD design and vulnerability management across fintech and enterprise products, and now drives SRE at NVIDIA after recent roles at Instabase and led SRE efforts across SEA. Sitaram’s hands-on work includes implementing performance monitoring tools for the open-source Performance Co-Pilot project (pcp-pidstat and pcp-mpstat), reflecting a practical focus on process- and system-level observability. He’s known for designing developer-friendly pipelines and preview environments that reduce friction between local and CI workflows, and for zero-downtime cloud migrations of complex microservice landscapes. Based in Pune, he also shares learnings publicly via his Substack, combining technical depth with a knack for clear communication.
code11 years of coding experience
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Stackoverflow

Stats
31reputation
3kreached
0answers
2questions
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Github Skills (13)

command-line-tool10
analyse10
performance-monitoring10
python10
metric10
distributed-systems9
bash8
time-series8
monitoring8
google-workspace6
go6
google-apps-script6
google-admin-sdk6

Programming languages (10)

TypeScriptShellCSSCDJavaScriptGoHTML

Github contributions (5)

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performancecopilot/pcp

Jul 2016 - Aug 2016

Performance Co-Pilot
Role in this project:
userBack-end Developer & Performance Engineer
Contributions:12 commits, 6 PRs in 1 month
Contributions summary:Sitaram primarily contributed to implementing performance monitoring tools within the Performance Co-Pilot (PCP) project. They developed `pcp-pidstat` and `pcp-mpstat`, Python-based tools that integrate with PCP to provide process-level and system-level performance metrics, mirroring functionalities of the standard `pidstat` and `mpstat` utilities. Their work involved fetching and presenting various system and process metrics, including CPU usage, memory utilization, and interrupt statistics. The user also addressed code issues, refining calculations, header details, and overall code structure for both tools.
analysisperformancegraphmetricsmonitoring
Contributions:46 pushes in 10 years 1 month
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