I am a Cybersecurity Architect with over 18+ years of experience designing and implementing security solutions across AI security, automotive cybersecurity, Linux kernel internals, cloud-native security, embedded systems, and platform security.

My expertise includes Secure Boot, Secure Software Updates, Key Management, Software Hardening, vehicle cybersecurity architecture, threat analysis and risk assessment (TARA), and security engineering aligned with industry standards such as ISO/SAE 21434 and UNECE R155/R156.

I am also the architect of BPFense, an AI-driven Kubernetes runtime security platform built on Linux eBPF, combining Linux kernel technologies, cloud-native security, and artificial intelligence to protect modern workloads in production environments.

Throughout my career, I have designed production-grade security architectures across embedded systems, automotive platforms, Kubernetes, AI applications, and cloud-native infrastructure.

My teaching philosophy is simple: learn by building. Rather than relying on simplified examples, my courses focus on real-world concepts, production-grade code, and hands-on projects that help students develop practical skills they can apply immediately in their careers.

Whether you're a software developer, security engineer, DevSecOps practitioner, or AI engineer, my goal is to help you understand not only how security works, but also why it matters and how to implement it effectively in modern systems.