Vijaylaxmi Nagurkar
Senior Cloud Application Engineer
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolVijaylaxmi Nagurkar is a Senior Cloud Application Engineer based in San Francisco with nearly a decade of experience building cloud-native systems and data pipelines. She blends strong backend and DevOps skills—especially around Kubernetes and Rust—from roles at InfinyOn working on Fluvio, an alternative to Kafka+Flink, to her current engineering work at Trillo Inc. Her background includes enterprise Java and PLM integrations at TCS, giving her an uncommon mix of large-scale legacy migration experience and modern streaming architecture expertise. Notably, she has contributed to improving CLI usability and cluster installation robustness for an open-source distributed streaming project, demonstrating attention to developer UX as well as infrastructure reliability. With an MS in Software Engineering from San Jose State and hands-on experience across languages and platforms, she excels at turning complex orchestration challenges into reproducible, production-ready systems.
9 years of coding experience
5 years of employment as a software developer
San José State UniversityMaster of Computer Applications (M.C.A.), Computer Science, Master of Computer Applications (M.C.A.), Computer Science at Devi Ahilya VishwavidyalayaMathematics and Computer Science, Mathematics and Computer Science at SICA School, Indore, India
Github Skills (13)
rust10
devops10
cli10
kubernetes-pods9
helm9
kubernetes9
distributed-systems8
stream-processing8
cloud-native8
automation-testing7
cicd7
automations7
automation7
Programming languages (5)
Github contributions (5)
infinyon/fluvio
May 2020 - Nov 2020
Lean and mean distributed stream processing system written in rust and web assembly. Alternative to Kafka + Flink in one.
Role in this project:
Backend & DevOps Engineer
Backend & DevOps EngineerContributions:20 reviews, 38 commits, 38 PRs in 5 months
Contributions summary:Vijaylaxmi primarily focused on improving the CLI and the cluster installation process for the Fluvio streaming platform. Their contributions included enhancing the CLI's usability by updating command descriptions and wording. They also implemented checks for helm and the system chart during cluster installation, along with integrating a minikube tunnel check to ensure proper setup. Furthermore, they made several changes to the local cluster installation process, including setting up a custom SPU and changing the default log directories.
real-timeevent-streaminganalyticsstream-processingstreaming-data
vijaylaxmid/fluvio
May 2020 - Nov 2020
Cloud-native distributed data streaming platform
Contributions:163 pushes, 58 branches, 5 tags in 5 months
stream-processingstreaming-datastreamingdistributed-systemscloudnative
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