At Thermo Fisher Scientific, I led an end-to-end computer vision and machine learning pipeline to identify equipment footage and replace manual technician inventory. I also established data quality metrics and validation frameworks for production readiness.
At CESAR, I built machine learning, NLP, and LLM data pipelines that transformed safety reports into predictive risk intelligence. I also developed predictive maintenance algorithms that achieved a sustained 2% production increase for industrial operations.
At the Institute of Systems and Robotics, I applied machine learning to optimize 3D printing parameters and reduce material waste and calibration time. Earlier, at the University of Aveiro, I used R and Python to analyze cycling growth and built interactive simulation web tools for public administrators.
