Azamat Sultanov

Azamat Sultanov is a data engineer at Thinknum. Azamat has also worked as a machine learning engineer at Sberbank and as an AI team lead and NLP engineer at Mocha Global.

Sultanov has experience collecting and processing datasets, developing algorithms, building and maintaining database architectures and ETL processes, and training models. Azamat is skilled in natural language processing and has created algorithms for next word prediction, gesture recognition and intent recognition. Azamat also created an on-device recommender system for suggesting brands based on user-typed information.

Azamat Sultanov has a Masters in Artificial Intelligence and Data Science from Heinrich Heine University of Düsseldorf, and a Masters in Information Security from National Research Nuclear University MEPhI (Moscow Engineering Physics Institute). Azamat also has a Bachelor's degree in Information Security from National Research Nuclear University MEPhI (Moscow Engineering Physics Institute), and is certified by Coursera in Natural Language Processing with Classification and Vector Spaces, Convolutional Neural Networks, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Structuring Machine Learning Projects, and Neural Networks and Deep Learning.

Azamat Sultanov works with Gregory Carroll - Infrastructure Engineer, Christie Smythe - Senior Writer, and Karen Ho - Senior Writer. Their manager is Gregory Ugwi, Co-Founder & CEO.