Summary
Preston Hinkle is a Senior Data Engineer in Seattle with a decade of experience translating advanced analytics and experimental physics into production data systems. With a PhD in physics and a background building instrumentation software and machine-learning tools, he specializes in bridging research-grade algorithms and robust, scalable pipelines—most recently at SpaceX after several applied-science roles at Zillow. He combines hands-on coding (Python, C++, cloud services, computer vision) with a strong foundation in statistical modeling and signal processing developed through academic research on nanopores and time-series analysis. Notably, he has turned lab software into widely used tools and built end-to-end apps that fuse CV, NLP, and cloud APIs for real-world workflows, reflecting a pragmatic engineer who equally enjoys building things and solving problems.
10 years of coding experience
9 years of employment as a software developer
BS, Physics, BS, Physics at The Ohio State University
Doctor of Philosophy - PhD, Physics, Doctor of Philosophy - PhD, Physics at University of California, Irvine