Chitrang Patel
Software Developer at Google
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolChitrang Patel is a software developer at Google with 11 years of experience building cloud-native CI/CD systems and real-time data pipelines, and serves as a maintainer on the high-profile Tekton Pipelines project. He previously led development for the CHIME/FRB radio-astronomy project, designing multiprocessing, networking, and ML-driven analysis software that processed up to 1.5 PB/day and scaled clusters from a few nodes to over a hundred. Comfortable across full-stack engineering, he blends secure CI/CD, Python data science, time-series databases, and web visualization with hands-on backend work in Kubernetes and containerized environments. A pragmatic team leader and test-driven practitioner, he pairs scientific rigor from his astrophysics background with production-grade software engineering to deliver observable, high-throughput systems. Notably, his open-source contributions include bug fixes and improved parameter propagation and testing in tektoncd/pipeline, highlighting a focus on reliability in distributed workflows.
11 years of coding experience
6 years of employment as a software developer
Bachelor’s Degree, Physics and Astrophysics, Honours, Bachelor’s Degree, Physics and Astrophysics, Honours at University of TorontoMaster’s Degree, Astronomy and Astrophysics, Master’s Degree, Astronomy and Astrophysics at McGill University
English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (6)
go10
testing10
cicd9
kubernetes-pods9
kubernetes9
api-design8
Programming languages (12)
Github contributions (5)
tektoncd/pipeline
Apr 2022 - Dec 2022
A cloud-native Pipeline resource.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:732 reviews, 27 commits, 100 PRs in 7 months
Contributions summary:Chitrang made several contributions related to testing and improving the functionality of the `tektoncd/pipeline` repository, focusing on testing pod status, pipeline run status, and parameter substitution. They added a unit test for pod status, integrated the inclusion of the reason for skipping PipelineTasks. Moreover, they addressed a bug related to parameter validation, corrected a flaw in how parameters were extracted, and added improvements to the parameters propagation.
cloud-nativetektonpipelinekubernetescdf
chitrangpatel/RNNIT
Jul 2019 - Aug 2019
Recurrent Neural Network for Investment Trading
Contributions:48 commits, 41 pushes, 1 branch in 1 month
recurrent-neural-networkstrading
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