Alejandro Debus

My bio

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Machine Learning Engineer,

Argentina

I’m Alejandro Debus, a passionate machine learning engineer with experience in a wide range of areas within this fascinating field.

With a strong background in data science and hands-on experience in machine learning challenges, ranging from computer vision and natural language processing to credit modeling, I offer innovative and efficient solutions across various domains, including deep learning and reinforcement learning in fintech, ecommerce, agtech, IT, education, and other industries.

Furthermore, my experience in MLOps and data engineering enables me to implement and maintain machine learning models in production effectively and at scale.

I’m passionate about sharing my knowledge through teaching, and I have had the privilege of lecturing and conducting workshops on machine learning at universities and companies.

With a professional background spanning both startups and large enterprises, I possess a comprehensive perspective on the role of machine learning in different business and social contexts.

If you’re interested in collaborating on exciting projects or need guidance in the field of machine learning, don’t hesitate to reach out to me! I am eager to explore new opportunities and contribute to the advancement of machine learning and artificial intelligence.

latest posts

selected publications

  1. spatio_temporal_cnn.png
    Left ventricle quantification through spatio-temporal CNNs
    Alejandro Debus , and Enzo Ferrante
    2018