Emanuel Samir Muñoz Panduro

Emanuel Samir Muñoz Panduro has extensive experience in Machine Learning and Robotics. In 2019, they worked as a Computer Vision Intern at ISA REP, where they designed and developed two methods for corrosion detection based on computer vision and machine learning for decision making. In 2020, they were an Associate Researcher at Yale University and a Developer Trainee at Minsky. At Yale, they worked at the Schroers Lab and designed and developed new alloys with potential mechanical properties for the industry. At Minsky, they worked with modern and open source stack for product development and collaborated in backend and frontend projects. Emanuel Samir also worked as a Robotics Research Assistant at Concytec Perú, where they contributed to building a surgical robotics platform funded by the government. In 2021, they worked as a Machine Learning & Robotics at Carnegie Mellon University, where they contributed to the research lab of Prof. John Dolan supervised by Qin Lin. Emanuel Samir developed projects on safe control and machine learning, and published one journal. Emanuel Samir also developed an adaptive safe control for autonomous vehicles reducing the effects of model uncertainty based on Control Barrier Function and Extreme Learning Machine. Currently, they are a Machine Learning Engineer at Noteworthy AI.

Emanuel Samir Muñoz Panduro's education history includes a Bachelor of Science in Electrical and Electronics Engineering from the Universidad de Ingeniería & Tecnología - UTEC from 2016 to 2021. Before that, they attended the International Baccalaureate Diploma Programme from 2014 to 2015 and Colegio Mayor Secundario Presidente del Perú - COAR Lima from 2013 to 2015. Emanuel Samir has also obtained certifications from Platzi in Python Professional Course, Database foundations, Introduction to Machine Learning Model Deployment, TensorFlow.js, Curso de Introducción al Pensamiento Computacional con Python, JavaScript Asynchronism, Curso de Fundamentos Matemáticos para Inteligencia Artificial, Fundamentos de JavaScript, and a TOEFL iBT from ETS.