As a child, I was constantly sketching on paper; it was much more than just a hobby for me. I would draw vehicles and aliens from the sci-fi and action movies I watched, blending different designs to create something new.
After graduating from high school in science and math, I studied Mechanical Engineering in college. Towards the end of my undergraduate studies, driven by a desire to build something tangible, I set out to develop a high-speed test platform for an RC car with active aerodynamic parts. Although the project failed, it introduced me to Arduino. At the time, without even knowing the code was C-based, I was adapting code snippets from search engines through trial and error. After completing my military service, I enrolled in a software boot camp and stepped into the .NET ecosystem.
Throughout my professional career, I have developed a wide range of projects—from end-to-end web applications to desktop software—using technologies like Angular, React, and .NET. As I realized how AI tools dramatically accelerate the learning process, I decided to stop shelving the ideas that had occupied my mind since childhood and instead bring them to life through R&D principles. Project DatumNAV was born as the first fruit of this decision.