Mario Gil is an AI scientist with a PhD in Machine Learning and Big Data and nine years of experience applying research-grade ML to industry problems. He has led teams and defined AI strategy across automotive and SaaS contexts, moving classical NLP products to LLM-based solutions and building Retrieval-Augmented Generation systems that exploit multimodal GPT-4o. Comfortable in both research and production, he has published academic work on semi-supervised learning and scaled algorithms on Apache Spark while also delivering Azure-deployed virtual assistants and Teams integrations. Currently at TaxDown after driving AI adoption at Antolin and Sngular, he combines hands-on model engineering with product-focused deployment. He mentors interns and bridges academic rigor with practical outcomes—an unusual blend evidenced by an extraordinary PhD award and a trajectory from brain-mapping research to commercial generative AI.
9 years of coding experience
Doctorado, Ingeniería Informática (Machine Learning y Big Data), Doctorado, Ingeniería Informática (Machine Learning y Big Data) at Universidad de Burgos
Master’s Degree, Computer Science, Master’s Degree, Computer Science at Warsaw University of Technology
Contributions:34 PRs, 69 pushes, 6 branches in 1 month
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