Summary
Gabriel Marzinotto is a Lead Data Scientist with a decade of experience specializing in deep learning for NLP, combining strong research credentials (PhD, multiple top-conference publications) with hands-on cloud MLOps and software engineering. He has designed annotation schemas, built AutoML tools for PyTorch BERT deployments, and delivered production NLP services that reduced costs and boosted performance for large enterprises. Comfortable bridging R&D and product teams, he has led dataset design, coached interns, and run technical hiring. His background in distributed ML and e‑health handwriting research reveals a taste for cross-disciplinary problems and robust experimental tooling. Based in Geneva, he brings both academic rigor and practical experience shipping scalable, cloud-native ML systems.
10 years of coding experience
2 years of employment as a software developer
Engineer’s Degree Electrical and Electronics Engineering, Engineer’s Degree Electrical and Electronics Engineering at Universidad Simón Bolívar
Doctor of Philosophy - PhD Artificial Intelligence, Doctor of Philosophy - PhD Artificial Intelligence at Aix-Marseille University
Master’s Degree Data Processing, Master’s Degree Data Processing at Télécom SudParis
Master’s Degree Data Processing, Master’s Degree Data Processing at UVSQ Université de Versailles Saint-Quentin-en-Yvelines
Italian, French, Spanish, English