I believe that great technology should feel simple. My approach is to start with the user's problem and work backward, cutting through complexity to find the most direct and maintainable solution. I'm driven by impact, whether it's shaving seconds off a load time or designing a system that will scale effortlessly for the next million users.

What truly excites me is the intersection of AI and practical application. I love the challenge of taking cutting-edge research and turning it into a robust, scalable feature that solves a real-world problem. My current focus is on agentic AI, where I'm learning to design the underlying systems that can orchestrate, supervise, and ensure the reliability of autonomous AI agents—turning conceptual autonomy into a practical, production-ready reality.

I thrive in fast-paced, agile teams that value curiosity and data-driven decisions. When I'm not architecting systems, I'm usually playing strategy board games or on a long run—both are great ways to practice thinking several steps ahead and maintaining endurance for complex challenges.