Sandeep Parikh
Director Of DevRel Engineering at Qualcomm
San Diego, California, United States
Summary
👤
Senior🎓
Top SchoolSandeep Parikh is a seasoned technology leader, currently Director of DevRel Engineering at Qualcomm, where he leads a team to deliver a dev-first experience across software and hardware. With 14 years of experience, his career spans Google, Verily, MongoDB, Apple, VMware, and more, with a track record of large-scale cloud migrations, cloud-native architectures, and data pipelines. He has steered cross-functional teams of engineers and solutions architects, aligning production design with security and reliability across platforms. An active open-source contributor, his GitHub work includes Kubernetes-based distributed load testing with Locust and containerized task automation that enhances deployment pipelines. He holds a Masters in Computer Engineering from UT Austin and a B.S. in Computer Science in Engineering from the University of Michigan, and is based in San Diego, California.
14 years of coding experience
16 years of employment as a software developer
Bachelors, Computer Science in Engineering, Bachelors, Computer Science in Engineering at University of MichiganMasters, Computer Engineering, Masters, Computer Engineering at The University of Texas at Austin
Stackoverflow
124reputation
2kreached
8answers
2questions
Github Skills (23)
kubernetes-pod10
load-test10
kubernetes10
dockerce10
docker10
locust10
python10
dockers10
load-testing10
gcp9
bash8
ci-cd7
rest-api6
mongodb6
aggregation-framework6
Programming languages (11)
Github contributions (5)
GoogleCloudPlatform/distributed-load-testing-using-kubernetes
May 2015 - May 2018
Distributed load testing using Kubernetes on Google Container Engine
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:33 commits, 2 PRs, 1 push in 3 years
Contributions summary:Sandeep primarily focused on setting up and improving the load testing infrastructure for a Kubernetes-based distributed system. Their commits show the containerization of Locust.io tasks, changes to task ratios, and updates to the Locust configuration. They also made adjustments to the sample web application to be more generic, demonstrating an understanding of the system's components and how they interact.
load-testingtestingdistributed-load-testingkubernetescontainer-engine
GoogleCloudPlatform/mongodb-cloud-manager
May 2016 - Dec 2018
Bootstrap multiple Google Compute Engine instances with the MongoDB Cloud Manager automation agent
Contributions:18 commits, 2 PRs, 2 pushes in 2 years 7 months
appenginegoogle-compute-enginegcpgooglegoogle-cloud-platform
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