Marcin Możejko

Marcin is a Principal Deep Learning engineer at Warsaw based AI consulting company Sigmoidal. His main areas of interests are NLP, Computer Vision and Mathematical Foundations of Machine Learning. He is a part of a research group of TensorCell - where he works on variational optimization, active learning and uncertainty estimation using Bayesian Neural Networks. He holds a Master’s degree in Mathematics from the University of Warsaw.

In the past he implemented a deep-learning based NLP system for Microsoft, advanced churn prediction with uncertainty estimation and decision explanation at PwC and was a part of Deep Learning team preparing segmentation algorithms for PwC Drone Powered Solutions. After joining Sigmoidal Marcin prepared multiple advanced NLP solutions for augmentation of due diligence systems, article classification and ranking as well as object detection for drone imagery and uncertainty estimation.

In addition - Marcin is a frequent conference speaker where he covers ideas around uncertainty estimation in Deep Learning.