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À propos de moi
I'm a Machine Learning Engineer interested in making ML work on real problems, with real data and real constraints.
I look beyond a model's score. I want to understand why it performs the way it does, where it falls short, and whether its results are useful outside a notebook.
My approach is problem-first: understand what needs to change, determine whether ML makes sense, and choose an approach we can actually evaluate.
Let's figure out what's holding your project back and find a practical way forward, starting with what you actually need.... Plus d’infos