Machine Learning (TensorFlow Core)
Rodolfo Ferro is a Machine Learning Engineer at Zetalabs S.L. (Spain) and collaborates as a Digital Sherpa for the national education program "Innovacción Virtual" with Microsoft Mexico. He has worked as a Python Developer at CloudLinux and served as a research assistant in applied AI at the Mathematics Research Center (CIMAT), part of the National Consortium of Science and Technology (CONACYT) in Mexico. He participated in a research project during a summer internship (2017) at the Aspuru-Guzik Research Group, in the Department of Chemistry and Chemical Biology at Harvard University, working with applied machine learning for molecular properties prediction and calibration. He is a winner of the #TFWorld TensorFlow 2.0 World Challenge (2019). For several years, he has been actively participating in building and sharing in AI and tech communities. Feel free to reach him out to start collaborating!