Artem Grotov is a highly experienced software design and development professional with over 10 years of industry experience. He holds a PhD in Artificial intelligence and has 3 years of industry experience in applying machine learning. His excellent skills in the alignment of business and AI and communication with stakeholders have set him apart from his peers. Artem has expertise in evaluating ML models, data governance, collection, annotation and management, A/B testing, online evaluation based on user-generated signals, ML models development and productionalization, and deployment. Artem is an expert in the design and development of distributed machine learning systems, time series analysis, deep learning, information retrieval, natural language processing, computer vision, and AIOps including Anomaly Detection, Forecasting, and Root Cause Analysis. He is proficient in using Python, numpy, pandas, scikitlearn, tensorflow, R, Containerised Applications (Docker, Kubernetes), NoSQL, and Cloud Infrastructure (AWS). He is a genius in open source frameworks and has strong analytical and communication skills, result orientation, flexible, and is a team player. Artem's experience includes working at Meta, Zeta Alpha, StackState, GoDataDriven, Yandex, the University of Amsterdam, Kaspersky Lab, and Doctor Web, Ltd.