Yashash Lokesh
Staff Software Engineer at Intuit
Mountain View, California, United States
Summary
🤩
Rockstar🎓
Top SchoolYashash Lokesh is a Staff Software Engineer based in the San Francisco Bay Area with three years of professional experience focused on cloud-native, high-throughput data systems. At Intuit he progressed rapidly from Software Engineer to Staff, specializing in backend systems and contributing significant production-grade features. He is an active contributor to the Numaflow project, where he implemented and optimized the Persistent Buffered Queue and ISB replay/partition mechanics to improve concurrency, windowing, and WAL-backed persistence for streaming pipelines. Comfortable operating at the intersection of performance engineering and distributed systems design, he brings practical expertise in making streaming workloads more reliable and efficient. Notably, his work on non-keyed stream support and optimized concurrent operations demonstrates attention to both correctness and operational scalability.
4 years of coding experience
5 years of employment as a software developer
Bachelor of Technology, Computer and Information Sciences, General, Bachelor of Technology, Computer and Information Sciences, General at RV College Of Engineering
Github Skills (7)
kubernetes10
stream-processing10
go10
data-pipelines10
data-pipeline10
kubernetes-pods10
testing8
Programming languages (4)
Github contributions (5)
numaproj/numaflow
Sep 2022 - Jan 2023
Kubernetes-native platform to run massively parallel data/streaming jobs
Role in this project:
Back-end Developer
Back-end DeveloperContributions:646 reviews, 38 commits, 435 PRs in 4 months
Contributions summary:Yashash implemented and optimized the PBQ (Persistent Buffered Queue) functionality within the numaflow project, focusing on in-memory and WAL (Write-Ahead Logging) persistent store implementations. They addressed key areas like replay mechanisms, partition management, and error handling within the ISB (Inter-Step Buffer) system. They added features like non-keyed stream support, and optimized the system for concurrent operations and efficient window closing. These changes significantly enhanced data processing capabilities.
kubernetesstream-processingdata-processingk8spipeline
numaproj/numaflow-java
Nov 2022 - Mar 2023
Numaflow Java SDK
Contributions:20 releases, 126 reviews, 13 commits in 4 months
javanumaflownumaflow-sdk
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