Federico Baldassarre
AI Scientist at Mistral AI
Paris, Ile-de-France
Summary
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Rockstar🎓
Top SchoolFederico Baldassarre is an AI scientist with a decade of experience building and scaling self-supervised vision systems, currently focused on latent-space video world models at Mistral AI after a postdoc at Meta FAIR in Paris. He holds a PhD from KTH where his thesis on structured representations and explainability led to publications across ICLR, CVPR, ECCV and applied projects from semantic image compression to DeepFake explanation metrics. At Meta he helped scale DINO-style models into the billions of parameters and developed stable dense-image representation training and vision–language alignment methods. He contributes to open-source AI tooling—evidenced by concrete backend and tensor-op work on the widely used PySyft project—and actively seeks roles where research meets production. Comfortable across research, engineering and cluster sysadmin tasks, he pairs deep theoretical insight with hands-on implementation and reproducible code. Outside work he balances technical rigor with outdoor pursuits like climbing and rowing, reflecting a practical, persistence-driven approach to hard problems.
10 years of coding experience
3 years of employment as a software developer
Master’s Degree Machine Learning, Master’s Degree Machine Learning at KTH Royal Institute of TechnologyBachelor’s Degree Computer Engineering, Bachelor’s Degree Computer Engineering at Alma Mater Studiorum – Università di BolognaHigh School Math Physics Science and IT, High School Math Physics Science and IT at Liceo Scientifico E. Fermi, Bologna
Italian, French, Swedish, English
Stackoverflow
163reputation
24kreached
3answers
0questions
Github Skills (21)
pytorch10
operation10
python10
tensorrt10
numpy10
tensorflow10
federated-learning10
tensor10
testing9
unit-testing9
deeplearning-ai9
deep-learning9
unit-test9
cryptography8
secure-computation8
Programming languages (10)
Github contributions (5)
OpenMined/PySyft
Sep 2017 - Oct 2017
Perform data science on data that remains in someone else's server
Role in this project:
Back-end Developer & Data Scientist
Back-end Developer & Data ScientistContributions:21 commits, 8 PRs, 5 pushes in 13 days
Contributions summary:Federico implemented several methods within the `TensorBase` class, specifically focusing on inequality operations like `gt`, `lt`, `ge`, and `le`, including in-place versions. These changes involved modifying the `syft/tensor.py` file to add the new functionalities and also adding tests in `tests/test_tensor.py` to ensure the implemented features work as intended. Further contributions include a refactoring step, and merging updates from the master branch.
pytorchcryptographyacquiringpythonscience
baldassarreFe/torchgraphs
May 2019 - Jan 2021
Contributions:12 commits, 12 pushes, 2 branches in 1 year 8 months
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