Summary
Christopher Guess is a consulting technologist and investigative computer scientist with 11 years of experience building secure, production-grade systems that sit at the intersection of journalism, public policy and anti-corruption work. He has led architecture and development for high-impact projects—from Duke Reporters’ Lab’s media-archiving and fact-checking platforms to AI/ML pipelines for analyzing leaked financial datasets and enterprise-grade Riskminr document search—while advising central banks and international bodies on cross-border AML technology. Comfortable as a founder, lead engineer, or hands-on technologist, he has scaled systems to millions of daily transactions, shipped consumer apps with thousands of reviews, and run secure infrastructure for reporters in repressive environments. Equally at home prototyping ML solutions as he is negotiating policy and funding, he pairs technical depth in distributed systems, security and data engineering with a journalist’s instinct for source protection and real-world impact.
11 years of coding experience
20 years of employment as a software developer
Bachelor's degree Sociology, Bachelor's degree Sociology at University of Wisconsin-Madison
2004 Computer Science, 2004 Computer Science at Marquette University