Ajinkya Indulkar
Software Engineer at Google
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolAjinkya Indulkar is a software engineer in Mountain View with 11 years of industry experience and a strong ML research background from a 4.0 MS at UMass Amherst. He blends production-grade backend and DevOps skills—contributing to high-profile projects like microsoft/azure-pipelines-tasks—with applied ML work from Google Research, including compact image embeddings and federated learning on edge devices. At Google since 2019 and previously as a senior engineer and research intern, he has delivered deployment automation, Kubernetes integration, and efficiency-focused models that trade little accuracy for large space savings. Known for marrying academic rigor with pragmatic engineering, he often focuses on systems that make ML models and CI/CD workflows more efficient and scalable.
11 years of coding experience
3 years of employment as a software developer
Gujarat Technological UniversityDon Bosco BarodaUniversity of Massachusetts Amherst
Marathi, English, Gujarati, Hindi
Github Skills (11)
azure-pipelines10
kubernetes10
azure-functions10
docker10
dockers10
cicd10
kubernetes-pods10
yaml9
go8
infrastructure-as-code8
helm7
Programming languages (11)
Github contributions (5)
microsoft/azure-pipelines-tasks
Oct 2018 - May 2021
Tasks for Azure Pipelines
Role in this project:
DevOps Engineer & Backend Developer
DevOps Engineer & Backend DeveloperContributions:58 reviews, 165 commits, 107 PRs in 2 years 7 months
Contributions summary:Ajinkya's contributions primarily focus on enhancing the functionality and stability of Azure Pipelines tasks. This includes implementing support for Azure Subscription-based Kubernetes endpoints by integrating Service Account credentials. The user also modified Docker-related tasks by simplifying inputs and addressing issues related to logging out and restoring configurations. They also worked on the new AzureFunctionOnKubernetesV0 task and the FuncToolsInstallerV0 task, indicating a focus on deployment automation.
azure-pipelineswindowsazurepipelinesazure-devops
ajinkya599/first-git
Mar 2015 - Sep 2018
Contributions:5 PRs, 65 pushes, 13 branches in 3 years 7 months
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