Kirin Patel

Maryland, United States

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Summary

👤

Senior

🎓

Top School

Kirin Patel is a founder and full-stack software engineer with a decade of experience building production web and mobile applications across startups and major tech firms. Currently at Datavant and founder of Pod Enterprise Engineering, Kirin previously built front-end systems at AWS and contributed backend visualization APIs to the widely used Kubeflow Pipelines while interning at Google. His background spans end-to-end stacks—TypeScript/React, React Native, Go, and Python—with a track record of turning proofs-of-concept into deployed products in domains from satellite imagery to public health hotlines. An IB graduate and Capitol Technology University computer science student, he pairs entrepreneurial drive with practical engineering, and he’s comfortable shipping API specs, unit tests, and swagger-defined services that enable extensible visualization tooling.

10 years of coding experience

7 years of employment as a software developer

Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Capitol Technology University

High School, High School at Meade Senior High

English

Github Skills (12)

kubeflow10

go10

api10

apidoc10

api-design10

protocol-buffers10

grpc9

kubernetes-pods9

swagger9

kubernetes9

machine-learning8

python8

Programming languages (14)

C#JavaC++GoHTMLJupyter NotebookYAMLJsonnet

Github contributions (5)

kubeflow/pipelines

Jun 2019 - Sep 2019

Machine Learning Pipelines for Kubeflow

Role in this project:

Back-end Developer

Contributions:39 commits, 38 PRs, 246 comments in 3 months

Contributions summary:Kirin focused on developing the backend API for the Kubeflow Pipelines project, particularly for the visualization service. Their contributions included creating the visualization.proto file to define the API endpoint, modifying the arguments parameter type, and building the visualization pb and swagger files. The user also added the visualization server and its unit tests, enabling the core functionality of the service. They also made changes to the source code to ensure that the source and variables are correctly accessible.

pipelinetektondata-sciencemachine-learningmlops

ajchili/eh-for-meh

Dec 2017 - Apr 2019

Contributions:103 pushes, 2 branches in 1 year 4 months

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