Federico Cassano is a research lead based in San Francisco with a decade of experience advancing AI for code generation and program analysis. He combines hands-on research—training large models and improving LLM code reasoning—with practical engineering, having contributed to core Ethereum smart contracts for the Polymath securities token platform. His background spans industry research roles at Cursor, Scale AI, Roblox, and applied projects like symbolic RAG and vulnerability-finding algorithms that blend static analysis with LLMs. Federico also taught compiler design at the graduate and undergraduate level and runs a strong academic track record in code generation research. Fluent in both research and implementation, he brings a rare mix of deep model work and production-focused software engineering.
10 years of coding experience
10 years of employment as a software developer
Analista Programador Universitario Informática, Analista Programador Universitario Informática at Universidad Nacional de La Plata
Core Ethereum Smart Contracts for Polymath - The Securities Token Platform
Role in this project:
Back-end Developer
Contributions:46 commits, 10 PRs, 46 pushes in 1 month
Contributions summary:Federico primarily contributed to the core smart contracts for the Polymath securities token platform. Their work involved implementing and modifying permission-related functionality within the `permission_manager.js` file, including error message handling and permission validation. The user also addressed code comments and implemented new functionality to handle the creation of new checkpoints and dividends.
Contributions:3 releases, 49 commits, 22 PRs in 10 months
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