Albin Soutif - AI Engineer at Indra

Albin Soutif

AI Engineer at Indra

Madrid, Community of Madrid, Spain

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Summary

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Rockstar

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Top School

Albin Soutif is an AI Engineer based in Madrid with seven years of experience at the intersection of machine learning research and engineering. He completed a PhD focused on continual learning—specifically investigating the causes of forgetting in neural networks—and now applies that expertise at Indra to build robust, privacy- and sustainability-minded ML systems. His background includes internships in adversarial ML at IBM and contributions to the popular Avalanche continual-learning library, where he improved and tested the ReplayDataLoader and clarified core loss criteria. Comfortable moving between theory and implementation, he has a strong mathematical foundation from top French and Spanish institutions. Colleagues value him for pragmatic refactoring that simplifies complex research code into production-ready components. He brings a rare mix of deep research insight and hands-on engineering to problems in online, unsupervised, and adversarially robust learning.

7 years of coding experience

5 years of employment as a software developer

Docteur en informatique, Artificial Intelligence, Docteur en informatique, Artificial Intelligence at Universitat Autònoma de Barcelona

Diplôme d'ingénieur, Mathématiques et informatique, Diplôme d'ingénieur, Mathématiques et informatique at Ecole Nationale Supérieure d'Informatique et de Mathématiques Appliquées de Grenoble

Classe préparatoire aux grandes écoles, Physique, Technique, Mathématiques, Classe préparatoire aux grandes écoles, Physique, Technique, Mathématiques at LGT JOLIOT CURIE (RENNES)

English, French, Spanish

Github Skills (8)

pytorch10

c-library10

common-library10

python10

testing10

deeplearning-ai9

benchmark9

deep-learning9

Programming languages (1)

Python

Github contributions (5)

ContinualAI/avalanche

Jan 2023 - Mar 2023

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

Role in this project:

ML Engineer

Contributions:21 reviews, 6 commits, 28 PRs in 1 month

Contributions summary:Albin primarily contributed to testing and refining the `ReplayDataLoader` within the Avalanche framework, a library for continual learning. Their work involved adding tests, including those to cover oversampling strategies. Additionally, the user made improvements to the `ReplayDataLoader` and incorporated options and documentation. Finally, there was a refactoring effort aimed at simplifying a core loss criterion.

pytorchcontinual-learningdeep-learninglifelong-learningframework

AlbinSou/avalanche

Sep 2021 - Mar 2024

Avalanche: an End-to-End Library for Continual Learning.

Contributions:174 pushes, 40 branches in 2 years 7 months

pytorchend-to-enddeep-learningavalanchecontinual-learning

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