Kartik Verma
Software Engineer at CodeRabbit
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolKartik Verma is a software engineer with 10 years of experience focused on building performant, scalable, and resilient distributed systems. He has led impactful platform and infrastructure efforts at Gojek—cutting authorization latency by 95%, reducing GCP costs by 40%, and architecting a loyalty program end-to-end—and continued to advance ML platforms at Pixxel before joining CodeRabbit. His open-source contributions include backend and DevOps work on EvalAI and adding Git build-context and tests to Google’s Kaniko, reflecting practical expertise in CI/CD, container builds, and production-grade testing. Comfortable across backend, DevOps, and platform engineering, he specializes in designing roadmaps and driving features from design to deployment. Based in Bengaluru, he pairs product-minded engineering with measurable operational improvements, and often focuses on optimizing observability, security, and cost alongside performance.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Engineering (B.E.) Computer Engineering, Bachelor of Engineering (B.E.) Computer Engineering at University of Mumbai
English, Hindi
Github Skills (25)
git10
kubernetes10
container10
docker10
python10
django10
dockers10
cicd10
kubernetes-pods10
developer-tools10
api-design9
restful-api9
testing9
apim9
api-rest9
Programming languages (12)
Github contributions (5)
Cloud-CV/EvalAI
Sep 2018 - Apr 2020
:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:39 commits, 47 PRs, 229 comments in 1 year 7 months
Contributions summary:Kartik primarily contributed to the backend and DevOps aspects of the project, focusing on bug fixes, and adding features to the application's functionality. Their work included correcting API endpoint URLs, adding search functionality to the submissions table, fixing security issues related to dependencies, and adding features to limit submissions. Furthermore, the user made changes to the CI/CD pipeline. They also added support for features related to Docker-based challenges and the display of baseline submissions.
pythondjangostate-of-the-artangular7tensorflow
GoogleContainerTools/kaniko
Sep 2018 - May 2019
Build Container Images In Kubernetes
Role in this project:DevOps Engineer
DevOps EngineerContributions:17 commits, 3 PRs, 12 comments in 8 months
Contributions summary:Kartik's contributions focused on integrating and testing Git functionality within the Kaniko build process. They introduced a Git build context, enabling image builds from Git repositories. Furthermore, they added integration tests to validate the Git-based build process, and made adjustments to the testing framework to separate and manage these specific tests. Their work improved the flexibility and testing coverage of Kaniko.
containersdockerdeveloper-toolscontainer-imageskubernetes
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