Roey Chaim
Staff Engineer at Zenity
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolRoey Chaim is a Staff Engineer in New York who builds infrastructure and control layers to make AI agents safe, reliable, and controllable in real-world deployments. With over a decade of engineering experience spanning embedded C/C++ in defense, large-scale security products at Microsoft (Defender for IoT and Sentinel), and now AI safety infra at Zenity, he combines systems-level rigor with product-focused delivery. He contributes to open-source security tooling such as Microsoft's widely used Presidio, improving analyzer performance and developer ergonomics. Trained as a computer engineer with an MBA from Technion, Roey brings a pragmatic blend of technical depth, security-first thinking, and operational sensitivity to trust and autonomy in AI systems.
4 years of coding experience
16 years of employment as a software developer
Master of Business Administration (MBA), Master of Business Administration (MBA) at Technion - Israel Institute of Technology
Hebrew, English
Github Skills (12)
anonymity10
data-masking10
data-protection10
python10
anonymize10
api-design9
batch-processing9
api9
yaml8
dockers7
docker7
nlp7
Programming languages (3)
Github contributions (5)
microsoft/presidio
Jan 2024 - Nov 2024
Context aware, pluggable and customizable data protection and de-identification SDK for text and images
Role in this project:
Back-end Developer
Back-end DeveloperContributions:57 reviews, 10 PRs, 37 pushes in 10 months
Contributions summary:Roey primarily focused on enhancing the functionality and maintainability of the Presidio analyzer. Their contributions include refactoring and improving the recognizer loading process, implementing batch processing capabilities for improved performance, and addressing file handling issues. They also worked on documentation and added support for development containers, thereby streamlining the development workflow.
pythonde-identificationpluggablemicrosoftdata-loss-prevention
RoeyBC/presidio
Feb 2024 - Apr 2024
Context aware, pluggable and customizable data protection and de-identification SDK for text and images
Contributions:15 pushes, 4 branches in 2 months
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