Math @ Stanford; Researcher / Engineer at Cognition working on RL and coding-agent systems (Devin, Kevin, SWE-grep).
Ideas brought to life. A look at the products, companies, and creative works built from the ground up.
Research project and paper demonstrating multi-turn reinforcement learning to generate and iteratively refine CUDA kernels (Kevin-32B). Co-authored with Pietro Marsella, Ben Pan, Silas Alberti and others; demonstrated strong results on kernel benchmarks.
Cognition blog post describing the Kevin-32B model and multi-turn RL approach for CUDA kernel generation, authored by Carlo Baronio and collaborators.
Research and engineering work on fast agentic retrieval models (SWE-grep family) to improve context retrieval speed and parallelism for coding agents; Cognition blog co-authored by Baronio.
Contributions and activity on Cognition's coding-agent product 'Devin' including product updates and research-driven improvements to agent capabilities.
Co-authored work accepted to academic venues (listed in STOC/NeurIPS materials) on parallel sampling and autospeculation; aligns with research on efficient sampling strategies.
A collection of articles, interviews, and viral content where achievements have been shared.
Formal validation from the top. A showcase of official awards, grants, and government acknowledgements.
Bronze medalist at the International Mathematical Olympiad (listed on LinkedIn profile).
Gold medal at the national Italian Mathematical Olympiad (listed on LinkedIn).
Recognition from the Bank of Italy for achievements in mathematics and informatics (listed on LinkedIn).
Key roles that defined the journey.
Co-authored Cognition research and contributed to engineering efforts on coding agents (Devin), multi-turn RL (Kevin), and fast retrieval models (SWE-grep). Sources: Cognition blog posts and LinkedIn activity.
Mathematics student at Stanford University (LinkedIn education entry).
Academic foundation and learning journey.
Undergraduate (Mathematics)
Connect and explore.