Jose Montoya is a skilled Verification Engineer at Arm, where responsibilities include applying Machine Learning techniques for hardware verification. With a focus on Deep Reinforcement Learning, Jose proposed a distributed system to enhance test optimization in IP verification. Additionally, as a Machine Learning and Data Analytics Consultant at Zimmer and Peacock Ltd, Jose developed an AI web service for electrochemical analysis utilizing a hybrid LSTM-Convolutional Neural Network. Experience also includes significant software engineering contributions at the National Institute of Electricity and Clean Energy in Mexico, where Jose designed a centralized simulator for electricity distribution control. A diverse educational background encompasses multiple master's degrees in Smart Systems Integration, Electrical Engineering, and Information Science from prestigious institutions, complemented by a Bachelor’s degree in Mechatronics, Robotics, and Automation Engineering.
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