Elliott Forney is a Principal R&D Scientist with 12 years of experience building AI/ML systems that span computer vision, remote sensing, NLP and biomedical signal analysis. He has led development of deep learning pipelines for high-resolution and multispectral satellite imagery, experimented with self-supervised foundation models and generative approaches, and architected reusable PyTorch training frameworks that emphasize reproducibility and metrics tracking. Prior roles at IBM saw him design inner-source NLP libraries and cloud-native microservices, while his PhD work advanced EEG analysis for brain-computer interfaces—evidence of a rare blend of production engineering and rigorous academic research. Based in Colorado, he thrives mentoring junior researchers and translating cutting-edge algorithms into operational products that solve real-world problems. A subtle but distinguishing trait is his cross-domain fluency: he moves comfortably between low-level HPC and systems administration up to model design and product integration.
12 years of coding experience
17 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Colorado State University
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
Elliott Forney - Principal R&D Scientist at Vantor