Triage and validate AI-generated static-analysis vulnerability reports, confirm true positives by writing proof-of-concept exploits, analyze false positives to improve tooling, provide structured feedback to engineers, and author detailed vulnerability reports for upstream vendors and open-source projects.

Design, build, and maintain scalable, fault-tolerant backend services and data pipelines for an AI-driven cybersecurity platform. Implement secure APIs, optimize performance across distributed systems, establish backend best practices and CI/CD, write well-tested Python code, and mentor junior engineers.