Alexander Pucher
Co-Founder & CEO at The Apache Software Foundation
San Francisco Bay Area United States
Summary
🤩
Rockstar🎓
Top SchoolAlexander Pucher is a founder and engineering leader with nine years of experience building real-time analytics and cloud infrastructure, currently leading a stealth startup while also shaping AI compute at Parasail. As a founding engineer of StarTree and long-time Apache Pinot committer, he has deep expertise in distributed OLAP datastores and performance-focused backend systems, including concrete contributions to Pinot’s data-frame selectors and micro-benchmarks. His career spans research-grade systems work—from UC Santa Barbara and UC San Diego projects like TritonSort—to production services at LinkedIn where he worked on anomaly detection and A/B testing infrastructure. He blends academic rigor (PhD-level research in distributed systems) with product-driven execution, repeatedly turning prototype ideas into scalable platforms. Based in the San Francisco Bay Area, he pairs hands-on backend development with strategic product leadership, and has a demonstrated knack for surfacing actionable insights from massive datasets. An unusual detail: alongside founding startups, he continues active open-source stewardship of a widely used project (Apache Pinot) that powers real-time analytics at scale.
9 years of coding experience
12 years of employment as a software developer
Vienna University of TechnologyPhD, Computer Science, PhD, Computer Science at UC Santa Barbara
Github Skills (8)
data-manipulation10
dataframes10
javas10
java10
dataframe10
testing10
benchmarking9
benchmark9
Programming languages (5)
Github contributions (5)
apache/pinot
Feb 2017 - Aug 2022
Apache Pinot - A realtime distributed OLAP datastore
Role in this project:
Back-end Developer
Back-end DeveloperContributions:235 reviews, 536 commits, 1131 PRs in 5 years 7 months
Contributions summary:Alexander implemented a new feature for DataFrame selectors, including series operations on subsets with selectors and helper functions such as set, contains, count, and replace. They also improved performance by refactoring series and added more micro benchmarks. Their contributions focused on backend logic, enhancing data manipulation and transformation capabilities within the Apache Pinot project, along with improvements to the test suite.
apache-pinotolapjava
apucher/pinot
Feb 2017 - Jan 2019
A realtime distributed OLAP datastore
Contributions:617 pushes, 912 branches in 2 years
realtimeolapdatastoreimpresshigh-performance
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