Summary
Jasmine Bascom is an AI-enabled security engineer and STEM AI evaluator with 11 years of technical experience and a focused 2+ years in cybersecurity, specializing in vulnerability management, security automation, and tooling integration at enterprise scale. She builds API-driven systems and Python automation that have improved detection and remediation workflows across environments with hundreds of thousands of assets. In recent roles she designs adversarial, stateful evaluation scenarios for LLMs and develops deterministic, containerized benchmarks to probe model reliability, instruction adherence, and multi-step reasoning. Comfortable across security and ML stacks, she combines hands-on experience with Qualys, Kenna, Veracode, Splunk, and Swimlane with data-driven analysis using Pandas and scikit-learn. Her background spans applied research, teaching, and production contributions to open benchmark projects, reflecting a knack for turning rigorous evaluation into practical, auditable improvements. Based in Boulder, she pairs cybersecurity rigor with an unusual fluency in building reproducible agent evaluation pipelines and anti-cheat mechanisms.
10 years of coding experience
5 years of employment as a software developer
Bachelor of Science - BS Plant Sciences, Bachelor of Science - BS Plant Sciences at Ohio University
Master's degree Technology Cybersecurity and Policy, Master's degree Technology Cybersecurity and Policy at University of Colorado Boulder