Summary
Kamala Ram is a software engineer with a decade of experience specializing in distributed systems, observability, and cloud computing, currently building software at Google. Her PhD research focused on deriving actionable insights from observed system executions—traces and provenance—to both diagnose failures and guide fault-injection for testing, and she has a track record of turning those insights into practical tools. She combines deep research rigor from UC Santa Cruz with production experience across networking and systems roles at Arista, HP, Intel Labs, eBay, and Elastic. Known for asking precise, causality-oriented questions about what differentiates successful and failed executions, she brings a measurement-driven approach to improving system reliability. Based in California, she blends protocol-level expertise (routing and replication) with applied ML-style clustering from her earlier work on intelligent data migration.
10 years of coding experience
7 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Indian Institute of Science
BE, Computer Science, First Class with Distinction, BE, Computer Science, First Class with Distinction at Visvesvaraya Technological University
University of California Santa Cruz
High school, High school at SKCH
English, Hindi, Tamil, Kannada