Paul Hutelmyer
Principal Engineer at CounterMeasure Security
Greater Philadelphia United States
Summary
🤩
Rockstar🎓
Top SchoolPaul Hutelmyer is a Principal Engineer and cybersecurity practitioner with over 15 years of experience designing detection and response platforms for large enterprises and federal clients. He builds full‑stack security systems—from open-source backend file analysis (notably sustained contributions to the enterprise-scale Strelka scanner) to analyst-facing UIs and detection analytics—focused on measurably improving detection efficacy and reducing false positives. At Target he led detection confidence and threat hunting efforts, created a detection analytics platform and deployed an internal generative AI platform to streamline security workflows. He also co-founded and architected an AI-driven detection confidence product that maps real-world coverage across SIEMs, endpoints, and threat feeds. Known for combining hands-on engineering with data-driven metrics, Paul regularly shares research and tooling at conferences and in published posts. Based in Greater Philadelphia, he blends deep incident response and forensics roots with modern applied-AI approaches to close visibility and intelligence gaps.
9 years of coding experience
14 years of employment as a software developer
Computer Forensics, Computer Forensics, Computer Forensics, Computer Forensics at Commonwealth University-Bloomsburg
English
Github Skills (16)
develop10
go10
backend10
python10
sec9
security9
yara9
golang9
it-security9
detector8
detectors8
api-design7
dockers7
docker7
apim7
Programming languages (5)
Github contributions (5)
target/strelka
Aug 2019 - Jan 2023
Real-time, container-based file scanning at enterprise scale
Role in this project:
Backend Developer & Security Engineer
Backend Developer & Security EngineerContributions:19 releases, 73 reviews, 370 commits in 3 years 5 months
Contributions summary:Paul primarily contributed to the backend functionality of the `target/strelka` repository, which focuses on container-based file scanning. Their work involved implementing features related to file scanning and analysis, as shown by the changes in scanning modules for various file types (PDF, DOCX, etc.) and the integration of a CAPA scanner. The user also made security-related updates, such as adding a rule for detecting base64 encoded executables and changes to the code to ensure security best practices.
golangcontainersreal-timeyarafile-based
target/strelka-ui
Aug 2022 - Dec 2022
Strelka Web UI for File Submission and Analysis
Contributions:24 releases, 6 reviews, 66 commits in 4 months
pythonweb-uidetectionsiftsecurity
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.