Summary
Cristiana Carpinteiro is a Machine Learning Engineering Lead with 8 years of experience applying deep learning and scalable MLOps to AI-driven drug discovery, specializing in molecular generation, property prediction, and interaction analysis. A bioengineer by training, she bridges biology and engineering to build PyTorch-based models and AWS-powered pipelines capable of handling massive DNA-encoded libraries with billions of molecules. She has led teams and supervised academic work while integrating tools like Ray, PyTorch Lightning and GROMACS to create production-ready research infrastructure. Known for collaborating across multidisciplinary teams, she pairs hands-on modeling with production optimization and a knack for translating scientific problems into scalable engineering solutions. An uncommon strength is her track record of supervising theses and contributing to patentable and published work, reflecting both academic rigor and product impact.
8 years of coding experience
7 years of employment as a software developer
Erasmus Intern at Robotics and Mechatronics Group, 20/20, Erasmus Intern at Robotics and Mechatronics Group, 20/20 at University of Twente
Masterās Degree, Bioengineering, 18/20, Masterās Degree, Bioengineering, 18/20 at Faculdade de Engenharia da Universidade do Porto
English, Portuguese