Michael Kouremetis
Principal AI Research Engineer at Dreadnode
Washington DC-Baltimore Area United States
Summary
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Rockstar🎓
Top SchoolMichael Kouremetis is a Principal AI Research Engineer with 12 years of experience specializing in offensive cyber capabilities and adversary emulation. He leads development of autonomous attack agents and evaluation frameworks at Dreadnode after a multi-role tenure at MITRE where he drove Caldera development, led cyber operations teams, and served as a principal investigator on IR&D projects. Technically grounded in back-end systems and planning service interfaces—evidenced by contributions to the prominent MITRE/Caldera open-source adversary emulation platform—he blends AI research from a Johns Hopkins master's with deep operational security experience. Based in the Washington DC–Baltimore area, he is adept at turning research into practical red-team tooling and scalable evaluation pipelines that bridge academia, open source, and mission-driven security programs.
12 years of coding experience
7 years of employment as a software developer
Johns Hopkins UniversityMasters Computer Science, Masters Computer Science at Purdue UniversityBachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Embry-Riddle Aeronautical University
Github Skills (7)
cybersecurity10
emulation10
interface-design10
python10
security-automation9
mitre-attack9
att9
Programming languages (10)
Github contributions (5)
mitre/caldera
Nov 2019 - Dec 2022
Automated Adversary Emulation Platform
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 199 reviews, 86 commits in 3 years 2 months
Contributions summary:Michael appears to be focused on modifying the planning service interface within the Caldera platform. Their contributions involve adding and modifying base planning service classes, refining interface functions, and addressing merge conflicts. The commit messages suggest a focus on interface design and integration with other components, likely improving the overall planning and execution capabilities of the adversary emulation platform. These efforts are specifically tied to the core functionality of the platform.
security-automationadversarysecurity-testingred-teammitre-attack
elegantmoose/WhoDat
Mar 2017 - Sep 2020
Pivotable Reverse WhoIs / PDNS Fusion with Registrant Tracking & Alerting plus API for automated queries (JSON/CSV/TXT)
Contributions:23 pushes, 7 branches in 3 years 5 months
csvapitxtfusiontracking
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