Roman Talyansky is a computer science professional with 19 years of experience in research and development of complex software systems. His expertise includes algorithm development for deep learning, machine learning, data mining, and natural language processing domains. Roman has extensive knowledge in distributing machine learning and deep learning algorithms, developing and using large-scale distributed systems, and conducting independent research and development.

Roman holds a PhD in Natural Language Processing & Machine Learning and a Master's degree in Coding for Multi-Dimensional Constraints, both from Technion - Israel Institute of Technology. He has held various positions in different organizations, including Machine Learning Researcher at Amazon, Researcher in Heterogeneous Systems Group with Applications to Machine Learning at Toga Networks (Huawei Research), Data Scientist at SAP, and Senior Engineer at Intel.

Roman's skillset includes Deep Learning, Machine Learning, Data Mining, Statistical Inference, Predictive Analytics, Big Data, and Cloud Computing. He has experience leading research and development groups and conducting independent research, setting him apart as a skilled and experienced computer science professional.