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Fabrizio Di Francesco

Lead Machine Learning Engineer at Marvik

Fabrizio Di Francesco has a diverse work experience in various roles and industries. Fabrizio is currently working at Marvik as a Senior Machine Learning Engineer since March 2023. Prior to that, they worked as a Machine Learning Engineer at Marvik from November 2021 to March 2023. Before joining Marvik, they were a Python Developer at Nubi from October 2020 to November 2021. Fabrizio also worked at Leafnoise as a Python Developer from September 2019 to October 2020, where they participated in projects for national government offices involving data preprocessing, migration, and digitalization using Python, Flask, Docker, PostgreSQL, MongoDB, and Angular. Earlier in their career, they had an internship at Universidad Nacional de General San Martín as an Intern at LINE labs from February 2017 to August 2019, where they conducted research on modeling and simulation of ReRam devices and their applications in digital and analog circuits. Fabrizio also has experience as a Planning Analyst at Sealed Air Corporation from November 2014 to January 2017.

Fabrizio Di Francesco obtained a specialization in Deep Learning from Instituto Tecnológico de Buenos Aires, where they studied from 2021 to 2022. Prior to that, they earned an Engineer's degree in Electronics Engineering from Universidad Nacional de San Martín. In addition to their formal education, Fabrizio has also pursued additional certifications, including Machine Learning from Stanford Online in May 2020, and Machine Learning, Data Science, and Deep Learning with Python from Udemy in December 2018.

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Marvik

Marvik is a machine learning consulting firm. Our mission is to help make artificial intelligence seamless and ubiquitous by helping companies identify opportunities, leverage their data and make data-driven decisions to transform businesses realities. We execute and deliver end‑to‑end state of the art solutions using a wide range of technologies.We are proud members of Google For Startups, NVIDIA Inception and AWS Activate programs as well as deeplearning.ai ambassadors for our local city.We have a team of machine learning specialists, data scientists and full stack developers that can deliver complete end-to-end solutions and are always learning and growing so we can be ready to implement and obtain state of the art results. We are specialized in Computer Vision, Predictive Analytics and Natural Language Processing.


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51-200

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