Ricardo Calix is a professor and AI/ML researcher with nine years of professional experience applying deep learning, NLP, and time-series models to industrial and security domains. He leads ML-driven projects for the steel industry—developing static production models and Time Series GPTs in collaboration with DOE labs and US Steel—and consults on generative AI training and model assurance. His background includes AI auditing for In-Q-Tel and NSA-funded work in ML for cybersecurity, plus early research on Twitter-based health surveillance and parallel intrusion-detection systems. Known for bridging academic rigor with industry deployment, he routinely moves prototypes to production-ready forecasts and audits, and offers to test models directly on client data.
9 years of coding experience
13 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Engineering Science, Doctor of Philosophy (Ph.D.) Engineering Science at Louisiana State University
Bachelor's degree Industrial and Systems Engineering, Bachelor's degree Industrial and Systems Engineering at Universidad Tecnologica Centroamericana
Contributions:10 commits, 10 pushes, 1 branch in 9 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
Ricardo Calix - Professor at https://www.rcalix.com