Summary
James Carr-pries is a software engineer and ML specialist with eight years of experience building production ML systems across GreenTech, finance, and autonomous-driving adjacent projects. A University of Waterloo Systems Engineering graduate with a 4.0 GPA and a Cognitive Science minor, he combines strong fundamentals in Python (PyTorch, Pandas), Java/C++, and modern architectures (Transformers, XGBoost, CNNs) with hands-on firmware and full-stack experience. At Replicant he delivered a combined few-shot/zero-shot entity-extraction model achieving 80% production accuracy with only ten samples and a 99% F1 make/model extractor, and he has applied explainability and visualization work at Layer6. Known for tackling large, ambiguous challenges, he pairs deep analytical rigor with creative solutions and a user-focused engineering mindset. Outside of work he trains daily in Ultimate Frisbee aiming for u23 World Championship selection, reflecting his drive and team-first mentality.
8 years of coding experience
3 years of employment as a software developer
Candidate for BASc, Systems Engineering, 4.0/4.0 GPA, Candidate for BASc, Systems Engineering, 4.0/4.0 GPA at University of Waterloo