Ankur Saksena is a Senior Software Engineer based in Seattle with 9 years of professional experience and a deep background in building scalable, data-driven systems at Google, Groupon, and Amazon. He specializes in backend and DevOps engineering for big data and cloud services, having designed high-throughput compliance infrastructure, asynchronous user-selection frameworks, and production-grade data pipelines. At Google he contributes to cloud benchmarking and added Spark, Dataproc, Dataflow, and EMR integrations to the well-known PerfKitBenchmarker project, demonstrating expertise in reproducible performance testing across cloud platforms. Ankur combines pragmatic system design with hands-on implementation, often bridging service architecture and operational tooling to accelerate delivery. He holds an M.S. in Computer Science from the University of Arizona and brings a track record of turning complex distributed requirements into maintainable, extensible services. A less obvious strength is his ability to navigate both product-facing synchronous services and large-scale asynchronous data processing systems, enabling end-to-end solutions.
PerfKit Benchmarker (PKB) contains a set of benchmarks to measure and compare cloud offerings. The benchmarks use default settings to reflect what most users will see. PerfKit Benchmarker is licensed under the Apache 2 license terms. Please make sure to read, understand and agree to the terms of the LICENSE and CONTRIBUTING files before proceeding.
Role in this project:
Back-end & DevOps Engineer
Contributions:1 release, 141 commits, 94 PRs in 5 years 9 months
Contributions summary:Ankur's contributions primarily centered on implementing and modifying features for the Spark service within the PerfKit Benchmarker project. They adjusted Spark test configurations, updated locations of Spark example jars, and introduced metadata attributes to track information about the services being benchmarked. Furthermore, the user contributed to the development and integration of a new data processing backend service with Dataproc and Dataflow implementations, including the associated code for an EMR implementation. They also implemented various improvements to existing benchmarking configurations.
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Ankur Saksena - Senior Software Engineer at Google