Imran Rashid
Software Developer at Cloudera
Greater Chicago Area United States
Summary
👤
Senior🎓
Top SchoolImran Rashid is a seasoned software developer with 13 years of experience building scalable data analysis and machine learning systems, currently contributing at Cloudera in the Greater Chicago Area. He has deep expertise in Java, R, distributed computing (MapReduce, Greenplum) and a track record of analyzing extremely large datasets in production. His background spans industry and research—developing statistical algorithms at Quantcast and Quantifind and earlier work on biological pathway inference as a UW graduate researcher. An active back-end contributor to Apache Spark, he’s improved core shuffle and memory behaviors and added JSON-over-HTTP UI endpoints, highlighting both systems-level rigor and product-minded engineering. Practical, research-informed, and detail-oriented, he combines algorithmic thinking with hands-on implementation to turn complex data problems into reliable distributed solutions.
13 years of coding experience
15 years of employment as a software developer
MS, Computer Science, MS, Computer Science at University of WashingtonBS, Computer Science, BS, Computer Science at University of Illinois Urbana-Champaign
scala
Github Skills (16)
javas10
apache-spark10
back-end-development10
java10
scala10
testing9
big-data9
rest-api8
filesystem8
api-rest8
data-structures8
restful-api8
api-design8
data-structure8
sql8
Programming languages (7)
Github contributions (5)
apache/spark
Sep 2017 - Jan 2019
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
Back-end Developer
Back-end DeveloperContributions:4 reviews, 8 commits, 162 PRs in 1 year 3 months
Contributions summary:Imran primarily contributed to the back-end development of Apache Spark, focusing on core functionalities and internal APIs. Their contributions involved implementing features and resolving issues related to shuffle behavior and memory management. The user also worked on enhancing the codebase through code style improvements and improving the test coverage. They were also involved with adding features to expose data available in the UI as json over http.
analyticspythondata-processingsqlapache
squito/spark
Jan 2015 - Oct 2019
Mirror of Apache Spark
Contributions:11 PRs, 783 pushes, 203 branches in 4 years 9 months
spark-mlapachebig-datasparkscala
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