Ayush Khare
DevOps Engineer II at CloudCV
Gurugram, Haryana, India
Summary
👤
Senior🎓
Top SchoolAyush Khare is a DevOps Engineer II with nine years of experience building reliable, cloud-native infrastructure and platform engineering solutions for high-growth companies like Zepto and 1mg. He combines hands-on SRE practices with strong backend experience—having contributed to EvalAI (CloudCV) by improving submission workflows, APIs, CI/CD and running EKS-based deployments. Proficient in Docker, Kubernetes, AWS, Terraform and Ansible, he focuses on automating scalable deployments and incident-resilient systems. An active open-source contributor and long-time GSoC participant and mentor, he brings both community-driven engineering and production rigor. Based in Gurugram, he’s comfortable bridging developer and ops teams to ship features faster while maintaining reliability. Beyond day-to-day ops, he has a track record of improving developer experience through tooling and pipeline enhancements that reduced manual toil.
9 years of coding experience
6 years of employment as a software developer
Higher Secondary Education, Computer Science, Higher Secondary Education, Computer Science at U P Kirana Seva Samiti VidyalayaBachelor of Technology - BTech, Bachelor of Technology - BTech at JSS ACADEMY OF TECHNICAL EDUCATION, NOIDA
Github Skills (16)
kubernetes10
docker10
aws10
python10
dockers10
cicd10
kubernetes-pods10
django10
repr9
ai9
rep9
api8
machine-learning8
apim8
api-design8
Programming languages (8)
Github contributions (5)
Cloud-CV/EvalAI
Sep 2017 - Sep 2020
:cloud: :rocket: :bar_chart: :chart_with_upwards_trend: Evaluating state of the art in AI
Role in this project:
DevOps Engineer & Backend Developer
DevOps Engineer & Backend DeveloperContributions:3 reviews, 42 commits, 56 PRs in 2 years 11 months
Contributions summary:Ayush primarily contributed to backend functionality by fixing bugs related to data handling, API endpoints, and database queries. They also demonstrated DevOps expertise by configuring CI/CD pipelines and deployment-related tasks, including setting up an EKS cluster and integrating with Slack notifications. Furthermore, the user implemented enhancements to the submission workflow and the addition of features such as code upload capabilities. They showed proficiency in utilizing containerization and Kubernetes for efficient deployment and management.
pythondjangostate-of-the-artangular7tensorflow
Ayukha/ayukha.github.io
Jan 2018 - Sep 2022
Contributions:2 pushes, 1 branch in 4 years 9 months
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