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Roberto Martin Pozzer has a diverse work experience in the tech industry. Roberto Martin is currently employed as the VP of Engineering at Clip, a position they started in December 2022. Prior to this, Roberto served as the Senior Director of Engineering at Wildlife Studios from April 2020 to December 2022. At Wildlife Studios, they were responsible for developing technology to expand the company's operations and promote games effectively.

Before their role at Wildlife Studios, Roberto worked at Mercado Libre, where they held various positions. From August 2019 to April 2020, they served as the Director of Product Development, focusing on fraud prevention technologies for fintech and e-commerce platforms. During their tenure, they worked on projects involving single sign-on, authentication, and authorization APIs.

Roberto was also a Senior Product Development Manager at Mercado Libre from August 2016 to August 2019. Prior to this, they held the positions of Expert from February 2014 to August 2016, Project Leader from March 2011 to February 2014, and Ssr-Developer from September 2007 to March 2011.

Overall, Roberto has a strong background in engineering and has contributed to the growth and success of the companies they have worked for.

Roberto Martin Pozzer completed their Bachelor's degree in Systems of Information at Universidad Tecnológica Nacional (UTN) from 2004 to 2010. Additionally, they have obtained various certifications from Coursera and Udacity. These certifications include "Bayesian Statistics: From Concept to Data Analysis (with Honors)" from Coursera in November 2022, "Decentralized Finance (DeFi): The Future of Finance Specialization" from Coursera in June 2022, "Decentralized Finance (DeFi) Deep Dive" from Coursera in May 2022, "Blockchain" from Coursera in April 2022, "Decentralized Finance (DeFi) Infrastructure" from Coursera in April 2022, "Decentralized Finance (DeFi) Primitives" from Coursera in April 2022, "Blockchain Basics" from Coursera in February 2022, "Smart Contracts" from Coursera in February 2022, "Decentralized Applications (Dapps)" from Coursera in 2022, "A Crash Course in Causality: Inferring Causal Effects from Observational Data" from Coursera in January 2021, "Getting Started with Go" from Coursera in February 2020, "Machine Learning with TensorFlow on Google Cloud Platform Specialization" from Coursera in October 2018, "Deep Learning Specialization" from Coursera in February 2018, "Sequence Models" from Coursera in February 2018, "Convolutional Neural Networks" from Coursera in January 2018, "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" from Coursera in September 2017, "Structuring Machine Learning Projects" from Coursera in September 2017, "Neural Networks and Deep Learning" from Coursera in August 2017, and "Intro to Parallel Programming" from Udacity in November 2015. Additionally, they completed a certification in "Machine Learning" from Coursera in October 2012.