Prasad Chandrasekaran
Senior Software Engineer at Capital One
Bengaluru, Karnataka, India
Summary
🤩
Rockstar🎓
Top SchoolPrasad Chandrasekaran is a senior software engineer with 7+ years of experience building and scaling cloud-native distributed systems, currently based in Bengaluru and working at Capital One. He brings deep expertise in Kubernetes, etcd, container infrastructure and SaaS security, having led Tanzu Kubernetes efforts at VMware and driven ransomware/security-focused microservices at Cohesity. Prasad is hands-on in C++, Python and Go ecosystems, with a history of kernel and simulator work from NVIDIA and compiler-level problem solving at Intel. He has improved testing and release automation for high-profile open-source projects like etcd, integrating Docker-based tests and dependency hygiene into CI workflows. Known for blending pragmatic coding with infrastructure ownership, he also leverages AI to boost productivity and optimize development workflows. His background spans both deep systems engineering and cross-team stakeholder communication, enabling delivery of robust, secure platforms at scale.
7 years of coding experience
17 years of employment as a software developer
Master of Science (MS), Computer Science, Master of Science (MS), Computer Science at University at BuffaloB.Tech, Information Technology, B.Tech, Information Technology at Malaviya National Institute of Technology Jaipur
Github Skills (13)
automation10
automations10
docker10
go10
etcd10
dockers10
cicd10
testing10
distributed-systems9
bash9
go-modules9
kubernetes8
kubernetes-pods8
Programming languages (6)
Github contributions (5)
etcd-io/etcd
Sep 2022 - Jun 2023
Distributed reliable key-value store for the most critical data of a distributed system
Role in this project:
DevOps Engineer & Automation Engineer
DevOps Engineer & Automation EngineerContributions:17 reviews, 16 PRs, 55 comments in 9 months
Contributions summary:Prasad primarily focused on improving the testing and build processes for the etcd project. They implemented automated testing of etcd within a local Docker image, integrating it into the release workflow. Further contributions involved refining testing configurations and bumping project dependencies, including Go modules, to incorporate security and feature enhancements. The user also worked to ensure that the testing process was efficient by updating the test commands.
etcdcriticalconsensusdistributed-systemreliable
pchan/kubernetes
Dec 2021 - Dec 2022
Production-Grade Container Scheduling and Management
Contributions:1 PR, 28 pushes, 4 branches in 1 year
containersschedulingcontainerddockergrade
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