Gabriel is a data, gen AI, Machine Learning and Python Engineer with over a decade of experience in machine learning, data engineering, data science, and AI, particularly within the health, education, and energy sectors. He has led groundbreaking projects such as an AI-powered exam generator for medical training and Latin America’s first smart medicine vending machine. His technical expertise spans Python, PyTorch, TensorFlow, Scikit-learn, cloud platforms (Azure, AWS, Google Cloud), and NLP. He holds dual master’s degrees in biomedical Robotics and Neural Engineering and has contributed extensively to academia through teaching and publications in robotics and rehabilitation technologies. With 12 years in data engineering, Gabriel designs scalable ETL pipelines, manages complex data infrastructures like Snowflake and Databricks, and executes large-scale cloud migrations. He brings 12 years of experience in NLP, having developed assistive technologies and intelligent chatbots that enhance communication and automate services. His work emphasizes accessibility and functional, real-world applications.