Transforming vulnerability management through Python automation and data-driven decision-making, bridging technical security findings and executive stakeholder action.
- Developed the GEM Streamlit dashboard from scratch in two months, aggregating vulnerability data from multiple databases for real-time risk visualization and faster leadership decisions
- Engineered Python automation during the Apache Tika XXE (L0) incident to identify affected application versions and meet a 48-hour internal remediation deadline
- Built dynamic email automation for personalized vulnerability notifications, reducing mean time to notify during CVE-2025-66516 and CVE-2026-21962
- Lead monthly GEM activation calls and drove the cleanup of long-overdue external vulnerabilities, including director-level stakeholder engagement to ensure compliance with global security standards
- Tech stack: Python (Pandas, Streamlit), SQL, vulnerability management, root cause analysis, REST APIs