Sebastian Arboleda Duque

I am a Machine Learning Engineer specializing in signal analysis and the development of AI solutions for industrial applications. I currently work on predictive maintenance and condition monitoring systems, using vibration signals and electrical measurements to detect anomalies, identify fault patterns, and assess the operating condition of rotating machinery. My experience covers the complete Machine Learning lifecycle, including signal processing, feature engineering, model development and evaluation, data pipeline design, and the deployment of algorithms in production environments. I have worked with Machine Learning, Deep Learning, time-series analysis, and digital signal processing for classification, anomaly detection, and fault diagnosis. I also explore Generative AI, large language models, and AI agents to interpret data, automate analyses, and support decision-making. I am a Telematics Engineer with previous experience in embedded systems, firmware, electronics, telecommunications, and IoT. This combination enables me to approach problems from signal acquisition and machine physics to the development of intelligent models. I am passionate about transforming industrial data into useful, actionable insights by combining domain knowledge, signal processing, and artificial intelligence.