Surabhi Kumar is a software engineer with three years of industry experience and a Masters of Engineering from UC Berkeley, currently working on backend systems at StackRox (now part of Red Hat). She has a solid background in data analytics, machine learning, and cloud-native security, with hands-on experience building anomaly detection algorithms, REST APIs, and time-series libraries for large-scale environments. At Nutanix she optimized analytics for 25k-VM deployments and developed diagnostic features to troubleshoot storage I/O anomalies, demonstrating a practical focus on performance and observability. Her open-source contributions to the StackRox Kubernetes Security Platform show attention to secure integrations and robust data handling, including GraphQL refactors and enhanced syslog support. Comfortable across Python and backend services, she blends systems-level thinking from earlier hardware and GPU power-analysis roles with applied data science to deliver reliable, scalable solutions.
3 years of coding experience
1 year of employment as a software developer
Masters of Engineering, Masters of Engineering at University of California, Berkeley
BS Electrical and Computer Engineering, BS Electrical and Computer Engineering at Worcester Polytechnic Institute
The StackRox Kubernetes Security Platform performs a risk analysis of the container environment, delivers visibility and runtime alerts, and provides recommendations to proactively improve security by hardening the environment.
Role in this project:
Back-end Developer
Contributions:168 reviews, 7 commits, 163 PRs in 3 months
Contributions summary:Surabhi primarily focused on back-end development tasks within the StackRox Kubernetes Security Platform. Their contributions included removing unsupported resolvers in GraphQL, refactoring the Google SCC integration to properly map severity, and adding support for custom fields in syslog notifications. They also worked on validating the remote configuration for syslog integrations and enabling a feature flag for syslog extra fields. These changes suggest a focus on improving system integrations, data handling, and security features.
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