Summary
Darin Peetz is a software engineer and PhD candidate in Civil Engineering with a decade of experience blending high-performance computing, topology optimization research, and production software development. Currently at Google, he brings practical data science and engineering chops honed converting legacy Matlab workflows to Python, developing ML models that materially improved agricultural decision-making, and building web tools to quantify business value. His background includes research computing facilitation and extensive teaching at UIUC, reflecting an ability to translate complex HPC and structural engineering concepts to diverse audiences. Comfortable in Python, Matlab, and C++, he has a track record of reducing false positives and boosting predictive accuracy in real-world systems. Based in Windsor, Wisconsin, Darin pairs rigorous academic training with hands-on industry impact, often working independently across distributed teams. An under-the-radar strength is his dual fluency in research and productization—taking computational methods from prototype to scalable tooling.
10 years of coding experience
7 years of employment as a software developer
Bachelor of Science, Civil Engineering, Bachelor of Science, Civil Engineering at University of Wisconsin-Platteville
University of Illinois Urbana-Champaign
Spanish