Dipto Chakrabarty

Student at Carnegie Mellon University

United States
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Summary

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Dipto Chakrabarty is a Site Reliability and Software Engineer with seven years of experience and nearly three years in production SRE roles, currently pursuing a Master’s in Software Engineering at Carnegie Mellon University. He has led automation and migration efforts at Cisco for hundreds of MySQL clusters handling terabytes of data with zero downtime, built scalable microservices on AWS to process 10M+ daily events, and improved ETL and observability pipelines using Spark, OpenTelemetry, and Kubernetes. A certified CKA and active open-source contributor to high-profile projects like kubernetes-sigs/cluster-api and the OpenTelemetry Collector, he focuses on reliability, test infrastructure, and robust error handling. He combines hands-on systems programming in Go, Python, and C++ with infrastructure-as-code (Terraform, Ansible) and GitOps practices to reduce manual toil and accelerate safe rollouts. Notably, his contributions to Kubernetes release tooling and cluster-api test upgrades reflect a knack for improving developer and release workflows at scale.
code7 years of coding experience
job3 years of employment as a software developer
bookBTech - Bachelor of Technology, Computer Science, BTech - Bachelor of Technology, Computer Science at Vellore Institute of Technology, Vellore
bookMaster's degree, Software Engineering, Master's degree, Software Engineering at Carnegie Mellon University
languagesEnglish, Hindi
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Github Skills (30)

kubernetes10
cicd10
go10
kubernetes-pods10
opentelemetry10
cluster-api10
error-handling10
testing9
validations9
command-line-interface9
json9
decoding9
validation9
encoding9
command-line9

Programming languages (17)

SmartyJavaCSSC++GoHTMLPerlJupyter Notebook

Github contributions (5)

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kubernetes-sigs/cluster-api

Oct 2021 - May 2022

Home for Cluster API, a subproject of sig-cluster-lifecycle
Role in this project:
userBack-end & DevOps Engineer
Contributions:56 reviews, 15 commits, 14 PRs in 6 months
Contributions summary:Dipto contributed to the `cluster-api` project by refactoring and improving the `clusterctl describe` command. They replaced deprecated flags, modified comments for clarity, and updated the handling of "echo" and "grouping" options. Furthermore, the user made updates to the testing framework to use environment variables for configuration, upgrading Kind and updating node versions. Their work focused on enhancing the command-line interface and improving the test infrastructure for the project.
apilifecyclesubprojectcluster-apisig
Contrib repository for the OpenTelemetry Collector
Role in this project:
userBack-end & DevOps Engineer
Contributions:15 reviews, 9 commits, 13 PRs in 4 months
Contributions summary:Dipto primarily focused on improving the reliability and stability of the OpenTelemetry Collector Contrib repository. Their contributions involved refactoring code, addressing linting issues, and implementing error checks within various exporter packages, including Google Cloud, Datadog, and Tanzu Observability. They also improved the configuration validation within multiple exporter components, demonstrating a strong understanding of the codebase's internal structure and its interaction with external services. This user's work ensured robustness by improving the error handling and configuration within the project.
contribopentelemetry-collectortracingtempoobservability
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Dipto Chakrabarty - Student at Carnegie Mellon University