Fabio Rigano
Machine Learning Engineer at LongVision srl
Italy
Summary
🤩
Rockstar🎓
Top SchoolFabio Rigano is a Machine Learning Engineer based in Italy with six years of experience building and deploying production-grade CV and NLP systems. At LongVision he leads end-to-end development of scalable AI solutions, taking models from requirements through testing and deployment. An accomplished contributor to the popular Hugging Face Diffusers project, he implemented and refactored IP-Adapter support—adding multi-image masking and FaceID variants while updating core UNet and attention modules and tests. Fabio pairs top academic honors in Computer Engineering with practical ML engineering, bridging research-quality model work and robust software lifecycle practices.
6 years of coding experience
Liceo Scientifico "C. Caminiti"Laurea Magistrale LM, Computer Engineering, 110/110 e lode, Laurea Magistrale LM, Computer Engineering, 110/110 e lode at Università di Catania
Github Skills (12)
enet10
diffusion-models10
pytorch10
diffusion-probabilistic10
stable-diffusion10
deep-learning10
image-generation10
diffusers10
diffusion-probabilistic-models10
python9
computer-vision9
mlops8
Programming languages (3)
Github contributions (5)
huggingface/diffusers
Nov 2023 - Nov 2024
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX.
Role in this project:
ML Engineer
ML EngineerContributions:51 reviews, 14 PRs, 169 comments in 1 year
Contributions summary:Fabio primarily contributed to the implementation and improvement of IP-Adapter functionality within the Diffusers library. Their commits focused on adding support for various IP-Adapter types (Full, FaceID, and multi-image masking), refactoring existing code, and creating converter methods to ensure compatibility. The user's work involved modifying core modules such as UNet and attention processors, including writing tests to validate the newly added features. Their contributions significantly enhanced the library's capabilities in image generation using diffusion models.
pytorchartdeep-learningimage2imagestate-of-the-art
fabiorigano/diffusers
Nov 2023 - Apr 2024
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Contributions:101 pushes, 17 branches in 5 months
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