Charles Givre

Associate Director - Cyber Advanced Analytics

Miami-Fort Lauderdale Area United States
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Summary

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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.
code11 years of coding experience
job19 years of employment as a software developer
bookThe University of Arizona
bookSpanish Language and Literature, Spanish Language and Literature at Universidad Internacional Menéndez Pelayo
bookMA NEJS, MA NEJS at Brandeis University
languagesEnglish, French, Spanish, Hebrew
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Github Skills (15)

javas10
data-serialization10
sql10
java10
apache-drill10
serialization10
codec9
performance-optimization9
apache-commons9
commons9
xml9
json9
databases8
sql-database8
data-integration8

Programming languages (12)

TypeScriptJavaShellC++RSCSSJavaScriptPHP

Github contributions (5)

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apache/drill

Oct 2016 - Jan 2023

Apache Drill is a distributed MPP query layer for self describing data
Role in this project:
userBack-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.
jdbcdatastreambig-datadatabasehadoop
gtkcyber/griffon-vm

Apr 2017 - Aug 2022

Contributions:31 commits, 28 pushes, 1 branch in 5 years 4 months
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