Manuel Goulão
AI Engineer at NeuralShift
Lisbon, Portugal
Summary
👤
Senior🎓
Top SchoolManuel Goulão is an AI engineer based in Lisbon with nine years of experience applying machine learning to real-world problems, currently focusing on the legal domain at NeuralShift. He combines a strong academic background from Instituto Superior Técnico with hands-on research in self-supervised learning, knowledge distillation, and data-centric AI. Manuel has practical product and engineering experience from INESC‑ID and internships, delivering features, tests, and refactors for web applications. He is also an active open-source documentation contributor to prominent RL ecosystems (Gymnasium, PettingZoo, Minigrid, Miniworld), improving discoverability and usability for researchers and practitioners. Passionate about responsible AI, he prioritizes deployment practices that maximize positive societal impact. A less obvious strength is his knack for turning complex technical tools into accessible developer experiences via clear, polished documentation and build workflows.
9 years of coding experience
1 year of employment as a software developer
Android Basics Nanodegree - Android Basics Scholarship, Android Basics Nanodegree - Android Basics Scholarship at UdacityMaster's Degree in Computer Science and Engineering, Artificial Intelligence, Master's Degree in Computer Science and Engineering, Artificial Intelligence at Instituto Superior Técnico
Portuguese, English, Spanish
Stackoverflow
21reputation
49kreached
2answers
0questions
Github Skills (17)
python10
sphinx10
documentation10
restructuredtext9
markdown9
api9
markdown-it9
reinforcement-learning8
git7
github-pages7
html6
indexing6
javascript6
githubaction-workflow5
github-ci5
Programming languages (13)
Github contributions (5)
Farama-Foundation/Gymnasium
Sep 2022 - Jan 2023
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Role in this project:
Technical Writer
Technical WriterContributions:10 reviews, 25 commits, 30 PRs in 4 months
Contributions summary:Manuel's commits primarily focused on enhancing the project's documentation. They added detailed documentation for environments, including the addition of a complete list of Atari environments with images. The contributions involved updating links, summaries, and the overall theme of the documentation. Further work included generating tutorial pages, fixing edit button functionality, and generating the changelog.
reinforcement-learning-environmentsapigymreinforcement-learning
Farama-Foundation/PettingZoo
Sep 2022 - Dec 2022
A standard API for multi-agent reinforcement learning environments, with popular reference environments and related utilities
Role in this project:Technical Writer
Technical WriterContributions:4 reviews, 13 commits, 16 PRs in 3 months
Contributions summary:Manuel's contributions primarily focused on updating and improving the documentation for the PettingZoo project. They updated the documentation website to use Sphinx, modified the configuration file, and added a Google Analytics tag. Additionally, the user removed average total reward information and AEC diagrams from the environment pages, indicating an effort to refine the documentation's content and presentation.
multi-agent-reinforcement-learningapigymnasiumreinforcement-learningmultiagent-reinforcement-learning
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