Summary
Davide Coccomini is an R&D Product Owner and machine learning engineer with eight years of hands-on experience designing and deploying ML and deep learning systems across computer vision, NLP and on-device inference. He has taken projects end-to-end—from dataset curation and bespoke architectures to mobile and edge optimization—delivering features like virtual try-on, symbol recognition for nationwide apps, and lightweight on-device language models that cut operational costs. His background blends academic research (PhD work and roles at CNR and CERTH on deepfake detection, multimodal retrieval and generative models) with product-focused R&D in industry, giving him fluency in both large-scale model training and pragmatic production constraints. Comfortable leading teams and communities, he pairs technical depth (PyTorch, DGX-scale training, data engineering) with product instincts and a track record of shipping revenue-driving ML features. Ambitious and curious, he aims to bring his fusion of research rigor and product delivery to innovative companies—ideally in Vancouver—while continuing to push into computer vision and generative AI.
8 years of coding experience
6 years of employment as a software developer
Secondary Education, Information Technology, Secondary Education, Information Technology at ITIS E. Morselli
ELLIS Summer School, Large-Scale AI for Research and Industry, ELLIS Summer School, Large-Scale AI for Research and Industry at Università degli Studi di Modena e Reggio Emilia
Doctor of Philosophy - PhD, Information Engineering, Doctor of Philosophy - PhD, Information Engineering at Università di Pisa
Italian, English