At American College of Radiology, I develop Python automation for CI/CD-aligned validation, secrets detection, dependency checks, and security reporting. My reporting automation reduced manual review effort by 30%.
I work with platform and engineering teams to investigate GitHub Actions pipeline failures, review Git-based changes, and refine automated validation and release controls. I also create dashboards that track findings, ownership, severity, and resolution timelines.
At ALCON, I led Python-based engineering automation and built reusable scripts and SQL checks that reduced manual analysis by approximately 20 hours per month. I also developed dashboards and documentation to support consistent validation and remediation.
Earlier at ALCON, I developed automation for workflow validation, anomaly detection, and operational monitoring, and built SQL reports and system-status dashboards. I hold an M.S. in Technology Management and certifications in AWS AI and Python for Data Science & AI.
