Vicente Peris Sempere

I am a Senior Machine Learning Engineer with a strong focus on AI-driven healthcare solutions. My expertise lies in developing Python-based machine learning tools and optimizing cloud-based ETL pipelines. I have a proven track record of leading distributed model training and enhancing the efficiency of AI models through GPU-based computing. My passion for using AI to drive real-world healthcare impact motivates me to accelerate clinical decision-making and improve patient outcomes.

Throughout my career, I have collaborated closely with data scientists and architecture engineers to meet both research and production needs. At Idoven, I engineered scalable ML infrastructure and led the development of parallel libraries for dataset generation and AI model training. My previous role at Stanford University School of Medicine allowed me to contribute to significant medical breakthroughs through statistical analysis and the development of machine learning models for health condition prediction.