Rajdeep Das

Engineering Manager - AI Infrastructure at LinkedIn

Bengaluru, Karnataka, India
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Summary

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Rajdeep Das is an Engineering Manager focused on AI infrastructure with a decade of experience building and operating large-scale systems, developer tooling, and model serving and retrieval platforms. He blends deep technical craft—evidenced by hands-on contributions to the widely used mongodb/mongodb-kubernetes-operator and production-grade MongoDB deployments—with strong people and leadership skills honed across roles at LinkedIn, MongoDB, Booking.com and NVIDIA. Rajdeep has driven reliability and automation for databases and Kubernetes-based platforms, improving error handling, logging, and e2e test infrastructure for critical open-source projects. Based in Bengaluru, he excels at translating complex distributed systems challenges into practical, maintainable solutions and is comfortable shipping both low-level integrations and platform-level orchestration. An uncommon strength is his cross-domain fluency from JVM/native system work to cloud-native DevOps, which helps him bridge infrastructure, developer experience, and AI model operational needs.
code10 years of coding experience
job8 years of employment as a software developer
bookBITS Pilani, Birla Institute of Technology and Science
bookDelhi Public School - India
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Github Skills (13)

kubernetes10
develop10
go10
mongodb10
devops10
mongodb-database10
kubernetes-pods10
operator10
cicd9
yaml9
user-authentication9
authentication9
testing8

Programming languages (10)

TypeScriptDockerfileJavaC++ShellShaderLabGoGo Template

Github contributions (5)

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MongoDB Community Kubernetes Operator
Role in this project:
userBack-end & DevOps Engineer
Contributions:278 reviews, 64 commits, 196 PRs in 2 years 2 months
Contributions summary:Rajdeep's contributions primarily involve enhancing the functionality and maintainability of the MongoDB Kubernetes Operator. They modified the operator's code related to SCRAM credential secret name generation, improving error handling and validation. Furthermore, the user focused on improving logging practices in the manager's main method, and added tests to skip locally and test the parallel reconcile. The user also contributed to infrastructure setup, creating roles, role bindings, and namespaces for e2e tests.
kubernetes-operatormongodb
irajdeep/DSALearnings

Feb 2018 - Aug 2020

Contributions:19 commits, 24 pushes, 1 branch in 2 years 6 months
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