Gurleen Dhody
Senior Software Engineer at Uber
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolGurleen Dhody is a Senior Software Engineer in San Francisco with a decade of experience building scalable distributed systems and real-time data platforms. Holding a master's in computer science with an AI focus, he has driven production features at Uber and Microsoft that optimize state management, scheduling, and big-data indexing for systems operating at cloud scale. At Uber he contributes to the fulfillment platform and a next-generation business metrics pipeline that leverages real-time trip signals; at Microsoft he improved scheduler performance and parallelized task allocation across massive clusters. His background spans full-stack, storage (Spanner, Delta Lake), and performance optimization, and he has practical experience designing in-house caches and scalable finalization/serialization flows. Notably, he blends research-oriented R&D work (big cluster job managers and query execution frameworks) with hands-on engineering that reduces operational cost and increases throughput. He aims to solve real-world business problems by making products smarter, more efficient, and reliably scalable.
10 years of coding experience
8 years of employment as a software developer
Bachelor of Technology (B.Tech.), Computer Science, 3.15/4.00, Bachelor of Technology (B.Tech.), Computer Science, 3.15/4.00 at Dehradun Institute Of TechnologyMaster’s Degree, Computer Science, 3.90/4.00, Master’s Degree, Computer Science, 3.90/4.00 at Indiana University Bloomington
English, Hindi
Github Skills (21)
indexing9
subsystem9
databases8
spark8
minesweeper7
analytics7
big-data7
acceleration6
java6
apache-spark6
apache6
refactoring5
overhead5
android5
hadoop5
Programming languages (3)
Github contributions (5)
thugsatbay/CS-Artificial_Intelligence_Problems
Oct 2017 - Mar 2018
Contributions:9 commits, 12 pushes, 1 branch in 5 months
thugsatbay/hyperspace
Dec 2020 - May 2021
An open source indexing subsystem that brings index-based query acceleration to Apache Spark™ and big data workloads.
Contributions:52 pushes, 8 branches in 4 months
querydatabase-accessindexworkloadsacceleration
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