Shyam Jvs

Principal Software Engineer at aws

Mumbai, Maharashtra, India
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Summary

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Rockstar
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Top School
Shyam Jvs is a Principal Software Engineer with 11 years of experience, currently building large-scale systems at AWS from Mumbai. He specializes in backend and cloud-native infrastructure, with notable open-source contributions to Kubernetes core components—improving API server performance, observability, and client compression controls in widely used repos like kubernetes/kubernetes and kubernetes/apiserver. His work on perf-tests and CI/tooling shows a pragmatic focus on reliable benchmarking, build/release automation, and operational efficiency. An IIT Bombay computer science graduate with a strong academic record, he pairs rigorous engineering fundamentals with production-first thinking. Colleagues describe him as a quietly impactful engineer who improves stability and developer experience through targeted, measurable changes.
code11 years of coding experience
bookIndian Institute of Technology Bombay
bookSenior Intermediate, A.P.B.I.E. Curriculum, 95.6%, Senior Intermediate, A.P.B.I.E. Curriculum, 95.6% at FIITJEE
languagesHindi, English
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Github Skills (21)

kubernetes10
benchmark10
apidoc10
benchmarking10
performance-testing10
automation10
client-go10
go10
api10
kubernetes-pods10
build-tools10
automations10
metric10
scripting9
gcp9

Programming languages (7)

TypeScriptHCLShellGoHTMLJupyter NotebookPython

Github contributions (5)

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kubernetes/perf-tests

Jan 2017 - Feb 2021

Performance tests and benchmarks
Role in this project:
userAutomation Engineer / Build & Release Engineer
Contributions:13 reviews, 41 commits, 44 PRs in 4 years 1 month
Contributions summary:Shyam primarily contributed to the development and maintenance of the performance benchmarking tool within the repository. Their work involved adding dependencies, updating the tool's functionality, and integrating with GCS for log retrieval. The commits also focused on enhancing the tool to scrape JSON metric files and modifying the build process using a runner script, streamlining the build and release workflow.
stress-testingbenchmarkingperformance-testsbenchmarkperformance
kubernetes/kubernetes

Dec 2016 - Sep 2022

Production-Grade Container Scheduling and Management
Role in this project:
userBack-end Developer
Contributions:11 reviews, 290 commits, 309 PRs in 5 years 10 months
Contributions summary:Shyam primarily contributed to improving the Kubernetes API server and client-go library. Their work involved addressing error handling in mount and unmount operations, reducing gzip compression levels for API server responses, and introducing a new option to disable compression in the KubeConfig and related client-go configurations. They also added a test for the disable compression flag. The changes suggest a focus on improving performance and usability within the Kubernetes ecosystem.
containersschedulingdockergradeproduction-grade
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