Dhruv Kela is a Senior Engineering Manager in New York with 8 years of experience building and scaling cloud-native teams and infrastructure. He has led 20+ person organizations at DigitalOcean, driving AI platform expansion (foundation models, GPU inference) and delivering self-service LLM pipelines, RAG architectures, and vector DB integrations for production ML workloads. Dhruv combines hands-on Kubernetes/DevOps expertise—contributing to DigitalOcean’s Marketplace Kubernetes deployments—with strategic execution, having rolled out RBAC across customer APIs and cut MTTD from hours to minutes. He’s led cross-functional product launches, vendor onboarding, and high-impact partnerships (including an AMD Developer Cloud collaboration), balancing technical depth with org-level roadmapping and OKR alignment. Colleagues describe him as a data-driven leader who preserves team health while accelerating time-to-market for complex, secure distributed systems.
8 years of coding experience
7 years of employment as a software developer
Bachelor of Technology (B.Tech.) Computer Science, Bachelor of Technology (B.Tech.) Computer Science at Vellore Institute of Technology
Gitanjali Group of Schools
Master's degree Computer Science, Master's degree Computer Science at Stony Brook University
This repository contains the source code and deployment scripts for Kubernetes-based applications listed in the DigitalOcean Marketplace.
Role in this project:
DevOps Engineer & Kubernetes Specialist
Contributions:104 reviews, 14 commits, 98 PRs in 3 years 2 months
Contributions summary:Dhruv focused on deploying and managing Kubernetes-based applications within the DigitalOcean Marketplace. Their contributions involved adding and configuring various applications such as Prometheus Operator, Nginx Ingress Controller, Linkerd2, and others using Helm. The user also implemented upgrade and uninstall procedures and updated existing deployment scripts to leverage Helm for improved deployment and management. Their work highlights a strong emphasis on automating and streamlining the deployment of applications on Kubernetes.
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