Roman Levchenko

Dr. Roman Levchenko is a versatile professional with a diverse background spanning over 20 years in IT, where he has excelled as a developer, manager, scientist, and speaker. He has a strong ability to execute vision, as evidenced by his various achievements and contributions to the field.

Dr. Levchenko's accomplishments include groundbreaking publications like the one in Nature Communications on network-induced multistability, a patented new approach for ML unsupervised learning called Genetic Coding, and the development of innovative technologies such as a Novel NLU Engine for FaQ automatization and software for realistic modeling of neuronal networks.

His managerial and leadership activities showcase his prowess in building new offices, IT teams, and management levels across various departments such as IT, NLP, ML, R&D, QA, HR, security, and marketing. He is adept at negotiations and has experience in contract management. Dr. Levchenko has also traveled extensively for business-to-business engagements and scientific endeavors around the world.

Research and mentoring play a significant role in Dr. Levchenko's career. His research experiences include visits to prestigious institutions like Institut FEMTO-ST in France and engagements in projects related to GRID and Neural Dynamics. He has also mentored students and served as an Assistant Professor, teaching IT courses and supervising theses.

In the realm of IT, Dr. Levchenko boasts proficiency in various programming languages such as C#, Python, Java, C/C++, SQL, JavaScript, and more. His expertise extends to cloud platforms like AWS, GCP, and Azure, as well as technologies in ML/NLP, HPC, and databases. He has delivered lecture courses on a range of IT topics and conducted research using tools like Matlab, Mathematica, and Maple.

Dr. Levchenko's educational background includes a High School Diploma in Mathematics and Computer Science, a Master's degree in Computer Engineering, and a PhD in Computer Science. He has held key positions in organizations like Tresio, Dynamic AI56, and Verne-AI, contributing significantly to their technological advancements and research initiatives.