Speaker: Dhruva Juloori
He / him / his
Senior Software Engineer @Uber, Core Contributor to SubmitQueue (Uber's CI System at Scale), Expert in Machine Learning, Distributed Systems, and Developer Productivity
Dhruva Juloori is a Senior Software Engineer at Uber, specializing in Machine Learning, Distributed Systems, and CI/CD infrastructure. He is a core contributor to SubmitQueue, Uber’s CI scheduling system that keeps the mainline green while processing hundreds of changes per hour across diverse, polyglot monorepos. His work focuses on optimizing developer productivity and scaling build systems for large engineering organizations. Dhruva is the author of the ICSE 2025 paper "CI at Scale: Lean, Green and Fast" and has spoken at several developer productivity conferences, sharing practical strategies for operating CI at scale.
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Session
Keeping the Mainline Green Across Diverse Language Monorepos
At Uber’s scale, ensuring an always-green mainline while processing hundreds of changes per hour is a massive challenge— especially when those changes span multiple language monorepos supporting dozens of business-critical apps.
Date
Monday Nov 17
