About Me

I am a software engineer driven by the inherent joy of "messing around" with technology. My approach to engineering is rooted in curiosity—believing that the most robust and thoughtful solutions emerge when you actively question assumptions rather than simply meet requirements. I spend most of my time designing resilient backend systems and extending them with machine learning and AI where they meaningfully enhance capability.

My journey has taken me from building high-performance APIs and distributed backend services to shipping production-grade ML-powered systems on cloud platforms like Google Cloud. At BlueVector AI, I work across backend engineering, cloud infrastructure, and applied AI—focusing on systems that scale reliably, integrate cleanly, and deliver real-world impact rather than remaining theoretical.

I treat code as a medium for exploration and learning. Whether I am optimizing a Go service, designing a data pipeline, or integrating an ML model into a backend workflow, I approach problems with an experimental mindset. Understanding the “why” behind architectural and technical decisions matters deeply to me, and it shapes how I build, debug, and evolve systems over time.

Beyond building software, I care strongly about sharing knowledge and giving back to the community. I enjoy writing about what I learn, speaking publicly, and contributing to communities that thrive on curiosity and collaboration. I aim to practice and promote an engineering culture where rigor meets exploration—building systems that are simple, reliable, and thoughtfully crafted, while always staying open to what lies beyond the known.