Joseph Gonzalez
Event Specialist at University of California, Berkeley
Albany, California, United States
Summary
👤
Senior🎓
Top SchoolJoseph Gonzalez is an experienced event specialist with 15 years of practice creating immersive, story-driven experiences for large-scale university gatherings, including Homecoming and Commencement with tens of thousands of attendees. Based in Albany, CA, he combines hands-on event operations—registration leadership, vendor management, and budget reconciliation for events exceeding $600K—with data stewardship skills, maintaining attendee and development databases. A BFA in Theatre underpins his strength in crafting memorable guest journeys, while his background shows an ability to scale processes (virtual and hybrid orientations for 9,000+ students) and lead teams. Unusually for an events professional, he also contributes to technical open-source work in high-profile projects like Apache Spark, reflecting a rare blend of creative programming and operational rigor. He thrives on collaborative problem-solving and designing experiences that leave a thoughtful, lasting impact.
15 years of coding experience
Bachelor of Fine Arts - BFA, Drama and Dramatics/Theatre Arts, General, Bachelor of Fine Arts - BFA, Drama and Dramatics/Theatre Arts, General at University of California, Berkeley
Github Skills (13)
scala10
spark10
data-structure9
distributed-systems9
algorithm9
data-structures9
algorithms9
performance-analysis8
performance-analytics8
performance-monitoring8
performance-monitor8
performance-tuning8
performance-measurement8
Programming languages (10)
Github contributions (5)
apache/spark
Jan 2015 - Feb 2016
Apache Spark - A unified analytics engine for large-scale data processing
Role in this project:
Backend Developer
Backend DeveloperContributions:4 PRs, 21 comments in 1 year 1 month
Contributions summary:Joseph's commits focus on integrating and extending GraphX's functionality for graph algorithms, particularly by adding support for vertex and edge partitioning strategies, as well as implementing new algorithms. They added features like random vertex cuts and contributed to the development of the synthetic benchmark application. Furthermore, the commits include code cleanups and refactoring to support the implementation of efficient vertex operations.
analyticspythondata-processingsqlapache
ucbrise/cs294-ai-sys-sp19
Dec 2018 - Aug 2019
CS294; AI For Systems and Systems For AI
Contributions:77 commits, 24 PRs, 86 pushes in 8 months
artificial-intelligencemachine-learning
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