Himanshu Pandey
Principal Support Engineer at EDB
Milpitas, California, United States
Summary
🤩
Rockstar🎓
Top SchoolHimanshu Pandey is a Principal Support Engineer at EDB with nine years of experience building and supporting high-performance MPP analytics systems, including significant backend work on Greenplum and PXF at VMware. He combines deep backend architecture skills with hands-on contributions to open source—an Apache MADlib committer who has implemented ML features like KNN enhancements and cols2vec. Based in Milpitas, he founded Interview Buddies to mentor engineers and has a strong DevOps and QA background evidenced by contributions to projects like minikube and detect-secrets. Comfortable across Java, Python, Kubernetes, and data platforms, he focuses on scalable solutions for big data and machine learning productionization. He holds an MS in Computer Science from UIUC and a Data Science certificate from the University of Washington, blending academic rigor with production experience. Colleagues describe him as an engineer who bridges support, development, and open-source stewardship to turn complex data problems into reliable products.
9 years of coding experience
16 years of employment as a software developer
Data Science Certificate Program Data Science, Data Science Certificate Program Data Science at University of WashingtonMaster of Science - MS Computer Science, Master of Science - MS Computer Science at University of Illinois Urbana-ChampaignBachelor's Degree Computer Science & Engineering, Bachelor's Degree Computer Science & Engineering at Uttar Pradesh Technical University
Github Skills (22)
kubernetes10
postgresql10
python10
testing10
machine-learning10
regular-expression10
go10
kubernetes-pods10
minikube10
dockers9
cicd9
security9
linear-regression9
cluster-computing9
docker9
Programming languages (9)
Github contributions (5)
apache/madlib
Jan 2018 - Sep 2019
Mirror of Apache MADlib
Role in this project:
Back-end Developer
Back-end DeveloperContributions:13 commits, 18 PRs, 81 comments in 1 year 7 months
Contributions summary:Himanshu primarily contributed to the Apache MADlib library by implementing new functionalities and resolving issues related to machine learning algorithms. Their work includes adding weighted averaging/voting by distance to the KNN module, incorporating personalized vertices to PageRank, and fixing an issue with Logregr. They also added a cols2vec function and made adjustments to the kNN and linear regression modules.
javaapachemadlib
kubernetes/minikube
Feb 2019 - Jun 2019
Run Kubernetes locally
Role in this project:DevOps Engineer & QA Engineer / Test Automation Engineer
DevOps Engineer & QA Engineer / Test Automation EngineerContributions:16 commits, 5 PRs, 44 comments in 4 months
Contributions summary:Himanshu primarily contributed to improving the stability and maintainability of the minikube project. Their work focused on enhancing testing procedures through the addition of integration tests, specifically targeting the correct setting and unsetting of the Kubernetes context during minikube start and stop operations. They also addressed code formatting issues and validated the configuration of the registry mirror flag.
containerslocallyk8skubernetescncf
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