Summary
Paul Forti is a Senior Machine Learning and Software Engineer with 13 years of experience building production-grade AI systems and developer-friendly software from Chicago. He leads end-to-end ML projects—data discovery through deployment—delivering NLP, forecasting, anomaly detection, and real-time contact-center automation that measurably reduced staffing and training costs. Equally at home in research and production, he has a PhD background in deep learning for medical imaging and has implemented high-performance C++/CUDA and wavelet-based solutions. Paul pairs rigorous software engineering practices (TDD, CI/CD, Kubernetes/OCP) with model innovation, having trained models from scratch and adapted state-of-the-art papers to real business problems. He also explores cost-efficient model hosting and inference strategies for startups and builds AI tools that assist people in daily life as a hobby. Known for autonomy and ownership, he thrives in environments where he can drive projects from idea to impact with minimal oversight.
13 years of coding experience
6 years of employment as a software developer
Master recherche en Informatique : Systèmes Intelligents et Communicants Informatique, Master recherche en Informatique : Systèmes Intelligents et Communicants Informatique at CY Cergy Paris Université
English, French, Spanish