Anit Gandhi is a Senior Engineer II based in Chicago with 11 years building back-end and cloud-native systems, currently contributing to DigitalOcean’s infrastructure and CLI tooling. He specializes in Go, networking, and cryptography, with notable open-source work on DigitalOcean’s Kubernetes cloud-controller-manager and doctl—adding load balancer features like HTTP/3, backend keepalive, and proxy-protocol flags. Comfortable across API design, DevOps, and integration testing, he balances refactors and vendor updates to keep production tooling reliable. Trained at UIUC and DTU, he brings a pragmatic engineering approach and a tendency to surface subtle correctness and consistency improvements that reduce operational pain.
11 years of coding experience
Bachelor of Science (B.S.), Bachelor of Science (B.S.) at Danmarks Tekniske Universitet
Kubernetes cloud-controller-manager for DigitalOcean (beta)
Role in this project:
Back-end & DevOps Engineer
Contributions:10 reviews, 10 commits, 4 PRs in 2 years 10 months
Contributions summary:Anit primarily contributed to the DigitalOcean cloud-controller-manager, focusing on load balancer functionalities. Their work involved adding annotations for features like backend keepalive and HTTP/3 support, along with associated test cases. They also made vendor updates and refactored existing code to improve consistency and address potential issues within the codebase. These changes directly relate to managing DigitalOcean load balancers within a Kubernetes environment.
The official command line interface for the DigitalOcean API.
Role in this project:
Back-end Developer
Contributions:1 review, 6 commits, 4 PRs in 2 years 10 months
Contributions summary:Anit's contributions primarily focused on updating dependencies, specifically bumping the version of the `godo` library. They also implemented new features and modifications related to DigitalOcean's load balancers, adding flags for proxy protocol and backend keepalive functionality, and integrating a new "size" field for load balancer configurations. These changes involved modifying code across multiple files, including commands, integration tests, and the core godo library, indicating a focus on back-end logic and API interactions.
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