Summary
Claudio Greco is a Member of Technical Staff at Reka AI with 11 years of experience building cutting-edge multimodal and conversational AI systems. He designed and trained a 7B-parameter multimodal foundation model and created an instruction-tuning dataset for egocentric video understanding, achieving results competitive with proprietary giants like Gemini Pro 1.5 and GPT-4V. His background blends a PhD in Cognitive and Brain Sciences with top honors in computer science, informing a research-driven approach to trustworthy, adaptive conversational agents and continual learning. Comfortable taking models from research to scalable training pipelines, he also has hands-on experience with LoRA fine-tuning and large-scale annotation collection. Based in France, Claudio combines deep academic rigor with practical engineering that often outperforms larger closed-source alternatives.
11 years of coding experience
1 year of employment as a software developer
Master's degree, Computer Science, 110/110 cum laude and special commendation by the commission, Master's degree, Computer Science, 110/110 cum laude and special commendation by the commission at Università degli Studi di Bari
PhD degree in Cognitive and Brain Sciences, PhD degree in Cognitive and Brain Sciences at Università degli Studi di Trento
Liceo Scientifico "Enrico Fermi" di Bari
English, French, Italian