Key outcomes
- Improved evaluation workflows for privacy-preserving ML initiatives.
- Collaborated across security and engineering stakeholders.
- Focused on practical hardening for production-minded ML systems.
Industry Experience
Contributed to secure and privacy-aware machine learning efforts by strengthening controls and data protection workflows.
