Sitaram Shelke
Senior Site Reliability Engineer at NVIDIA
Pune, Maharashtra, India
Summary
👤
Senior🎓
Top SchoolSitaram 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.
11 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Engineering, Bachelor of Engineering (B.E.) Computer Engineering at Pune Institute of Computer TechnologyHSC Computer Science, HSC Computer Science at Shri Shivaji College of Arts,Science,Commerce,Akola
Hindi, Marathi, English
Stackoverflow
31reputation
3kreached
0answers
2questions
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)
Github contributions (5)
performancecopilot/pcp
Jul 2016 - Aug 2016
Performance Co-Pilot
Role in this project:
Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions: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
sitaramshelke/test_github_api
Dec 2018 - Jul 2019
A repo to test manipulating a commit/branch/PR using Github APIs and octokit
Contributions:83 PRs, 72 pushes, 61 branches in 7 months
pr-branchprobotcommitoctokit
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