About Me

I'm a computational designer who discovered early in my career that my passion lies in creating tools rather than using them. This realization came during university when I shifted from aesthetic design to optimization and problem-solving through code.

My approach combines analytical thinking with practical implementation. At NJ Optimal, I developed a block-laying tool that optimized construction materials and automated billing. At Konu Merdiven, I created an algorithm that reduced custom stair design feedback from days to minutes while enabling direct CNC exports. My master's thesis on genetic algorithm-based light shelf optimization exemplifies how I merge technical knowledge with creative solutions.

I excel at pattern recognition and workflow optimization, always questioning whether problems need solving or can be bypassed entirely. My background in Building Science and expertise in Grasshopper allows me to build systems that eliminate friction for end users. While I'm detail-oriented and thorough, I acknowledge that sudden changes require adaptation time.

What drives me is the thrill of problem-solving and creating elegant systems that prevent future issues. I believe good design should have solid reasoning behind it - whether it's optimal daylight performance or structural efficiency - not just aesthetic appeal.