Charles Givre is a Principal Engineer specializing in AI and cybersecurity with 11+ years of experience building data-driven, production-ready systems across finance, defense, and startup environments. He blends hands-on skills in Python, Java, SQL and big-data tooling with leadership roles—co-founding DataDistillr, chairing the Apache Drill PMC, and teaching cybersecurity analytics at universities and O'Reilly. His open-source contributions to Apache Drill include backend enhancements for new data formats and time-series analysis, reflecting a deep focus on scalable query and analytics engines. Known for translating complex data into actionable intelligence, he has launched AI-driven products to detect phishing and harden security postures while raising venture capital and mentoring teams. Based in Miami-Fort Lauderdale, he brings a rare mix of operational security experience (including earlier counterterrorism analysis) and modern ML/prompt-engineering expertise.
11 years of coding experience
19 years of employment as a software developer
The University of Arizona
Spanish Language and Literature, Spanish Language and Literature at Universidad Internacional Menéndez Pelayo
Apache Drill is a distributed MPP query layer for self describing data
Role in this project:
Back-end Developer
Contributions:799 reviews, 171 commits, 568 PRs in 6 years 4 months
Contributions summary:Charles's commits primarily involve the addition of new functionality to the Apache Drill backend. They implemented crypto functions using Apache Commons Codec, added networking functions such as subnet calculations, and integrated support for various new formats like Log/Regex, Syslog (RFC-5424), Excel, and HDF5. Furthermore, the user added features for time series analysis and refined the existing reader components for improved performance.
Contributions:31 commits, 28 pushes, 1 branch in 5 years 4 months
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