Bruno Costa Rendon has a diverse work experience in various machine learning and engineering roles. Bruno is currently a Machine Learning Engineer at Helm.ai since 2023. In 2023, they also worked as the Head of Machine Learning at Banabo Labs, where they conducted research on novel architectures and achieved high accuracy classification. Prior to that, from 2020 to 2023, Bruno worked as a Computer Vision and Machine Learning Engineer at Keurig Dr Pepper Inc., where they developed computer vision models and led algorithm research and development.
From 2020 to 2020, Bruno was a Machine Learning Engineer at Raytheon Technologies, where they led a project in NLP and obtained funding for the project. In 2019, they served as a Graduate Research Assistant at Northeastern University, where they led software deployment and management for the Radio Frequency Machine Learning System team.
In 2018, Bruno worked as a Data Engineer at Basis Technology, where they collected international language texts and transformed them for neural machine translation. In 2016, they were a System Software Engineer at Flex, collaborating with auto manufacturers on embedded development and introducing new communication features.
Bruno also gained experience as a Motion Electrical Engineer at Analogic in 2015 and as a Research Intern at École polytechnique fédérale de Lausanne (EPFL) in 2012.
Bruno Costa Rendon's education history begins in 2013 when they enrolled at Northeastern University to pursue a Bachelor's degree in Computer Engineering. Bruno successfully completed this program in 2018 after five years of dedicated study.
Motivated by their passion for technology and its applications, Bruno decided to continue their academic journey at Northeastern University. In 2018, they embarked on a Master's degree program in Machine Learning. Over the course of two years, from 2018 to 2020, they honed their skills and acquired advanced knowledge in this specialized field.
Based on the provided information, it can be concluded that Bruno Costa Rendon obtained a Bachelor's degree in Computer Engineering in 2018 from Northeastern University, followed by a Master's degree in Machine Learning in 2020, also from Northeastern University.
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