I work across artificial intelligence, data science, computer vision, and cybersecurity, combining academic research with experience in large-scale production systems.

My background spans research, startups, and industry environments, including work on AI-driven systems, data pipelines, and security platforms operating at scale. I work in cloud-based, data-driven, microservice-oriented, and event-driven architectures, designing and operating distributed systems in production.

Today, my work focuses on helping teams design, understand, and evolve complex technical systems. This includes full engineering ownership during startup acquisitions and handovers, covering system analysis, stabilization, documentation, technical debt remediation, and integration into scalable, cloud-native architectures.

I work extensively with data- and event-driven systems, observability and telemetry for distributed platforms, and large-scale security systems. In cybersecurity, this includes WAF and full-scope EASM platforms, covering asset discovery, ethical hacking–driven validation, vulnerability scanning, post-scan analytics, and continuous platform improvement through applied machine learning.