Distinguished Engineer @ Palo Alto Networks · New York, United States
Building AI-driven security platforms. Betting on agentic systems.
I have 15+ years of experience building enterprise-scale distributed systems, cloud infrastructure, and complex software platforms. At Palo Alto Networks, I lead architecture for AI-driven threat intelligence and incident response while directing a team of 10+ engineers.
My background spans computer science, mathematics, and telecommunications engineering. I currently focus on applied ML systems, agentic AI, cybersecurity automation, and production-scale AI infrastructure, with broader interests in robotics and computer vision.
I stay hands-on across system design, architecture, and implementation, primarily in Go, Python, TypeScript/JavaScript, and C/C++.
Leading architecture for a next-generation AI-driven threat intelligence and incident response platform. Mentoring a distributed team of 10+ engineers.
Founded and led the company’s first threat intelligence and incident response platform, growing a two-person effort into a 10+ person organization delivering enterprise-wide capabilities.
Set technical direction for the CTO engineering organization. Built a scalable object ledger and CDN management system, cutting average response time from 250 ms to 37 ms and lifting uptime above 99.99%.
Led UX Platform cloud migration. Designed Kubernetes infrastructure on AWS, built a Kubernetes operator for secret synchronization, and authored CI/CD pipelines for a microservice fleet.
Led engineering for a Sequoia/KPCB-backed group video chat platform. Designed a Node.js/Go microservice architecture handling millions of requests per day.
A new 68-metric benchmark tests whether AI app-building platforms can function as complete software agencies. The findings on frontend-backend decoupling and universal security failures are real, but two of three authors work for the highest-scoring platform, and the conflict deserves scrutiny.