I wrote my first lines of code on an 8088, and since then I’ve built my career around one constant: turning technical curiosity into working software.
Over the years, my path has evolved from software engineering and product development into applied AI and cybersecurity, with a focus on detection engineering, threat intelligence, malware research, endpoint security concepts, and security automation. I enjoy building practical systems that connect AI, backend engineering, data pipelines, LLMs, and security workflows to help teams detect, investigate, prioritize, and respond to threats more effectively.
My work is guided by curiosity, resilience, and continuous improvement. I spend time researching how artificial intelligence can be applied to modern security challenges, especially where automation, behavioral signals, evidence-grounded recommendations, and human-in-the-loop decision-making can improve real-world outcomes.
Beyond cybersecurity, I also collaborate with entrepreneurs, academic teams, and innovation-driven organizations to explore how emerging technologies can be adopted securely, responsibly, and with clear business value. I am strongest in ambiguous 0-to-1 environments where the problem is not fully defined, speed matters, and the solution requires connecting engineering, AI, security, and product thinking.
