Summary
Ryan Davis is an independent data engineering consultant with a decade of experience building large-scale distributed processing systems and data-driven products. Trained as a Mechanical Engineering PhD from Princeton, he brings a researcher's rigor in applied mathematics, high-performance computing, and computational materials science to practical software and ML engineering. His background spans algorithmic trading platforms, security-focused engineering, and large-data roles at companies like SafeGraph, demonstrating fluency across cloud, microservices, and HPC environments. Clients benefit from his ability to translate complex numerical and scientific workloads into scalable, production-ready data architectures. He combines hands-on coding with system-level optimization, often tackling bottlenecks where compute, data, and models intersect. Based in the United States, he focuses on pragmatic, performance-oriented solutions that bridge academic depth and product delivery.
11 years of coding experience
5 years of employment as a software developer
Bachelor's Degree Mechanical Engineering / Physics, Bachelor's Degree Mechanical Engineering / Physics at University of Memphis
Doctor of Philosophy (Ph.D.) Mechanical Engineering, Doctor of Philosophy (Ph.D.) Mechanical Engineering at Princeton University