Paul Finlay is a software engineering lead with six years of industry experience who blends deep data science and machine learning expertise with a physics-trained rigor (PhD in Nuclear Physics) to deliver production-grade AI products. At Xanadu he has progressed from machine learning lead to software engineering lead, building applied ML teams and hybrid classical/quantum solutions for partner challenges while keeping a strong focus on product delivery. Previously he led data science product teams at RBC, shipping enterprise-wide tooling that reduced model validation time and drove rapid POCs that solved real business problems. Known for clear communication across technical and non-technical stakeholders, he thrives in cross-functional roles and brings an experimental scientist’s attention to measurement, robustness, and reproducibility. Outside conventional engineering work he has hands-on experience building instrumentation control and simulation software in Python and C++, a detail that underscores his ability to bridge low-level systems and high-level ML products.
6 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy (PhD), Nuclear Physics, Doctor of Philosophy (PhD), Nuclear Physics at University of Guelph
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