Prachi Pendse is a seasoned software engineer with 13 years of experience building high-throughput, near real-time systems in the internet industry, currently based in San Francisco. She has driven backend infrastructure at scale—powering LinkedIn’s in-app notifications and badges across multiple products and leading a cross-team migration that slashed feature delivery time from months to weeks. Her work at Yahoo on budget pacing and revenue dashboards directly increased daily revenue through data-driven optimizations. A contributor to notable open-source Kubernetes tooling like kustomize and kpt, she blends backend and DevOps skills with technical writing to improve developer experience and documentation. Comfortable across distributed systems (Kafka, Samza, Hadoop) and cloud platforms, Prachi pairs production impact with a knack for aligning teams and processes to deliver measurable business results.
12 years of coding experience
4 years of employment as a software developer
Bachelor of Science (B.S.), Bachelor of Science (B.S.) at Texas A&M University
Master of Science (M.S.), Master of Science (M.S.) at Rutgers University
Contributions:32 reviews, 65 commits, 38 PRs in 9 months
Contributions summary:Prachi's commits focused on transferring documentation related to the `kpt-functions` SDK and catalog to the main `kpt` repository. They added structured results sections and linked the toolchain used for creating catalog functions. Furthermore, they clarified links, added function examples, and updated the catalog to include new functions, ensuring clear example usage for the catalog functions. The user also fixed W3 link checker results and added Google Search Console and Analytics tags.
Contributions:14 commits, 9 PRs, 37 comments in 7 months
Contributions summary:Prachi primarily contributed to enhancing the `kustomize` project by adding support for the `config.k8s.io/function` annotation and incorporating features for mounting volumes to containers. They updated documentation and examples to reflect the new annotation and functionalities. Furthermore, they updated the parsing of the `StringToStorageMount` function, updated example versions and removed a shorthand flag in the `grep` command.
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