Summary
Francisco Gonzalez is a Senior Machine Learning Scientist in Seattle with 10 years of experience building and deploying ML and computer vision products, currently leading AI/ML work at OneSix via Strong Analytics. Trained as an aerospace engineer with deep roots in computational physics and high-performance computing, he brings research-grade methods—such as convolutional recurrent autoencoders and transformer-based multi-view models—into production systems for vehicle claims automation and AR pose tracking. His academic work earned an NVIDIA GPU grant and resulted in open-source tooling for neural model order reduction, showing a habit of turning novel research into reusable software. Comfortable across multi-modal modeling, large-scale numerical experiments, and distributed runtimes, he blends rigorous simulation background with practical product delivery. Notably, his career spans national labs and industry, pairing publications and open-source contributions with tangible commercial impact.
9 years of coding experience
4 years of employment as a software developer
PhD Student, Aerospace Engineering, PhD Student, Aerospace Engineering at University of Illinois Urbana-Champaign
Spanish, English