Daniel Grzywczak

Daniel started working at MNM in 2021. He graduated with a degree in engineering from the Warsaw University of Technology. At MNM, he’s responsible for building artificial intelligence models and implementing tools for the machine learning pipeline. Daniel has many years of experience in R&D projects, mainly in the field of machine learning (cross-sell prediction, action recognition based on accelerometer data), deep learning (image recognition, object detection and segmentation, optical character recognition) and image processing (image deblurring, heart rate estimation). He is also the author of several publications in this field.