17+ years in embedded systems and Linux kernel engineering, with the last 4+ years focused on automation cybersecurity.
Recently built BPFense — a runtime security platform that uses eBPF (LSM hooks + XDP) for kernel-level telemetry, combined with an ML-based anomaly detection pipeline and a quantum-inspired behavioral engine that models system activity as a time-evolving, interacting signal space. It detects multi-stage attacks, zero-day behaviors, and correlated threat patterns across file, network, process, and privilege signals.
Designed to run not just on Kubernetes but also on embedded and intelligent automation platforms where most runtime security tooling doesn't reach.
Open to collaboration, contract work, or research partnerships — particularly in runtime security, OT/ICS security, automotive cybersecurity, or any domain that needs deep kernel + security expertise.
17+ years in embedded systems and Linux kernel engineering, with the last 4+ years focused on automation cybersecurity.
Recently built BPFense — a runtime security platform that uses eBPF (LSM hooks + XDP) for kernel-level telemetry, combined with an ML-based anomaly detection pipeline and a quantum-inspired behavioral engine that models system activity as a time-evolving, interacting signal space. It detects multi-stage attacks, zero-day behaviors, and correlated threat patterns across file, network, process, and privilege signals.
Designed to run not just on Kubernetes but also on embedded and intelligent automation platforms where most runtime security tooling doesn't reach.
Open to collaboration, contract work, or research partnerships — particularly in runtime security, OT/ICS security, automotive cybersecurity, or any domain that needs deep kernel + security expertise.