Gianluca De Cola is a software engineer and data scientist with five years of experience building end-to-end backend systems and applied AI solutions, currently contributing at Prima Assicurazioni. He holds an M.Sc. in Biomedical Engineering (110/110 cum laude) and blends strong Python expertise with practical experience across computer vision, reinforcement learning, time series, and NLP. Gianluca designs databases and REST APIs (Django, Flask, FastAPI), ships containerized production services, and also contributes frontend polish with React to improve user experience. An active open-source contributor, he has improved stability and test determinism in prominent projects like OpenAI Gym by refactoring deprecated components and adding robust tests. He enjoys writing clean, well-tested, maintainable code and teaching—having lectured on NLP with deep learning—bringing both academic rigor and production discipline to his work.
5 years of coding experience
4 years of employment as a software developer
Data Development, Data Development at Consel - Consorzio Elis
Machine Learning and Artificial Intelligence, Machine Learning and Artificial Intelligence at AGS s.p.a.
Laurea Triennale, Ingegneria Elettronica, Laurea Triennale, Ingegneria Elettronica at Università degli Studi di Roma Tre
A toolkit for developing and comparing reinforcement learning algorithms.
Role in this project:
Back-end Developer & QA Engineer
Contributions:34 reviews, 11 commits, 21 PRs in 3 months
Contributions summary:Gianluca's contributions primarily involved refactoring and updating the `openai/gym` repository, focusing on the removal of deprecated features and the addition of new functionality. Specifically, the user removed the deprecated `Monitor` class, updated pyright versioning, and made pygame optional for the `Box2D` environments. They also added tests for the `play` function and upgraded test determinism, further enhancing the reliability of the project. The user appears to be improving the stability and maintainability of the environments.
A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)
Contributions:1 PR, 62 pushes, 5 branches in 3 months
apidiversereinforcement-learningreinforcementgym
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Gianluca De Cola - Software Engineer at Prima Assicurazioni