Mauricio Céspedes Tenorio is a Machine Learning Engineer specializing in signal and image processing. With a robust academic background in electrical and computer engineering and hands-on experience in software engineering, Mauricio has honed his expertise through roles at Boston Scientific and academic pursuits at Western University. Currently serving as an R&D Systems Engineer II in New Product Development at Boston Scientific, he applies advanced machine learning techniques—including both traditional and deep learning models—to process biosignals and medical imaging data. His work involves developing algorithms for automatic segmentation, image modification, and leveraging generative AI with large language models for innovative projects such as code documentation using Langchain and the ChatGPT API. Mauricio’s technical proficiency spans Python programming, data science, and signal processing, allowing him to tackle complex challenges in the biomedical domain. His experience includes preparing and training models for diverse applications, integrating interdisciplinary knowledge from his academic research and industry practices. As he completes his Master’s degree in engineering at Western University, Mauricio continues to build on his strong foundation in programming, mathematics, and algorithm development, driving forward advancements in healthcare technology and R&D innovation.