Kirill Sevastyanenko is a full-stack professional with advanced knowledge in machine learning, artificial intelligence, and distributed systems architecture. He studied Computer Software Engineering at Carnegie Mellon University, receiving a Master of Science (MS) degree. His academic background includes a Bachelor of Science (BS) in Mathematics from Lomonosov Moscow State University, a Summer Session in Stats and CS with a 3.4 GPA from Stanford University, and a Summer School in Statistics from the London School of Economics and Political Science.

Kirill Sevastyanenko has worked in various positions in different organizations. He is currently a Senior Data Engineer at Citadel, leading data engineering initiatives. He was previously the Backend Tech Lead at COVID Alliance and the Platform Architect at Spring Labs. At Avant, he was the Data Engineering Manager and the Data Engineering Team Lead. He also completed a Data Science Internship at Compass and a Technology Internship at Goldman Sachs.

Kirill Sevastyanenko's specialties include R, Ruby, Rails, Docker, Statistics, and Artificial Intelligence. His expertise in machine learning and distributed systems architecture is impressive. Kirill Sevastyanenko is passionate about utilizing the power of artificial intelligence and machine learning in the age of web microservices.