Charles Allen
Founding Engineer at Stealth
Santa Monica, California, United States
Summary
🤩
Rockstar🎓
Top SchoolCharles Allen is a founding engineer and serial entrepreneur with 11 years of experience building high-throughput data platforms, ad-tech attribution systems, and AI-driven workforce training products from Santa Monica. He blends hands-on backend engineering—contributions to Apache Druid performance and compression enhancements—with leadership roles at Snap, Metamarkets, and MNTN where he scaled realtime ingestion, reduced production incidents, and built teams that ship measurable business impact. Charles favors multiplying effort through systems and processes that let small, repeatable improvements compound into 10x team outcomes, and he’s applied that philosophy across startups and large orgs alike. His background spans deep technical work (PhD-level engineering and low-latency systems) to product and go-to-market execution, including founding companies that operationalize AI for human skills.
11 years of coding experience
18 years of employment as a software developer
Ph. D. Electrical and Computer Engineering, Ph. D. Electrical and Computer Engineering at Purdue University
English, Spanish
Github Skills (11)
algorithm10
data-structures10
javas10
algorithms10
query-optimization10
datastructures-algorithms10
apache-druid10
performance-optimization10
data-structure10
java10
compression-algorithm8
Programming languages (12)
Github contributions (5)
apache/druid
Nov 2014 - Mar 2019
Apache Druid: a high performance real-time analytics database.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:1 release, 534 commits, 1053 PRs in 4 years 5 months
Contributions summary:Charles's commits primarily focus on performance improvements for the TopN query in the Apache Druid database. Their work involved refactoring the `scanAndAggregate` function, optimizing aggregate offsets, and improving data storage within the `TopNNumericResultBuilder`. Furthermore, they added support for more compression types to the CompressedObjectStrategy and implemented a benchmarking system to test TopN performance.
real-timebig-datadruiddatabasehadoop
metamx/spark
Oct 2015 - Aug 2017
Mirror of Apache Spark
Contributions:1 release, 45 PRs, 100 pushes in 1 year 10 months
spark-mlapachebig-datasparkscala
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