Dhruva Juloori is a Senior Software Engineer in San Francisco with nine years of experience building large-scale, production-first systems that speed up code review and deployment. At Uber he redesigned core scheduling and impact-analysis engines—SubmitQueue and TargetAnalyzer—using probabilistic scheduling, ML models, and graph algorithms to cut land times from hours to minutes and dramatically reduce cloud costs. Previously at Oracle he moved from QA to SRE and engineering roles, driving reliability, automated CI/CD, and a cloud migration that improved test coverage and operational observability. He combines deep systems and distributed-systems thinking with practical automation skills (Jenkins, Docker, Kubernetes) and a knack for applying algorithms like Dijkstra at engineering scale. Notably, he published the SubmitQueue algorithm at ICSE 2025, showing his work bridges research and high-impact production engineering. Collected across startups and enterprise SaaS, his career reflects a persistent curiosity and a pattern of turning complex operational challenges into measurable improvements.
9 years of coding experience
4 years of employment as a software developer
Master's degree Information Technology and Management, Master's degree Information Technology and Management at Illinois Institute of Technology
Bachelor's degree Mechanical Engineering (Production), Bachelor's degree Mechanical Engineering (Production) at Osmania University
Contributions:45 pushes, 1 branch in 1 year 6 months
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