I am a seasoned AI and Machine Learning leader with extensive experience in architecting complex, scalable solutions across diverse domains including Computer Vision, NLP, Audio, and Generative AI. With a strong focus on strategic leadership, I have successfully guided teams of 20+ ML engineers, delivering innovative PoCs and MVPs for global clients.
I am pursuing a PhD in Computer Science at National University of Kyiv-Mohyla Academy, where I focus on Reinforcement Learning in Robotics, emphasizing optimization in efficiency and performance. As a Senior Lecturer, I teach advanced AI courses, including Deep Learning, Machine Learning, NLP systems, and Reinforcement Learninga as well supervise undergraduates and their theses.
Beyond my academic and technical work, I actively contribute to the AI ecosystem in Ukraine. I mentor aspiring AI engineers, speak at international conferences, and collaborate on cutting-edge research. My mission is to drive impactful AI adoption and innovation through education, mentorship, and thought leadership.
You can find the recordings of my courses, lectures, events, and talks here:
I have contributed a module on AI in cybersecurity for a Google's AI for Productivity course
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AI & BigData Online Day is a bi-annual conference for Data Science Community in Ukraine, Machine Learning track
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Poster section, "Balancing Performance and Efficiency in Zero-shot Robotic Navigation" paper
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A big and curious audience with so many questions that I felt as if I were post-lecture Andrej Karpathy at some point :)
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Joined AI House Startup Camp 2024 as a mentor!
25-28 Jul 2024
A 4-day long productive engagement with 9 teams that were working on creating and improving their own ideas
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Gave a talk at Toronto Robotics Conference 2024!
23 Jul 2024
A short talk on my SSL research for human-robot locomotion at TRC 2024
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An amazing week at Una Europa Summer School in Italy, covering topics like LLMs, AI regulation, and humor in AI
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My first single-author work focused on optimizing resources in zero-shot Habitat-Matterport 3D object goal navigation in robotics
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Teaching a course of Machine Learning in one of the master's programs
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Our StairNet comprehensive overview has been accepted and published in the special issue of BioMedical Engineering OnLine journal
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Offline intro lecture on Deep RL at NaUKMA
27 Jan 2024
Bomberland-centered RL Competition is an event for students of different Ukrainian universities to practice and hone their skills in Reinforcement Learning
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6 teams, more than 40 participants, development and construction of a robot to participate in the arena fights
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StairNet preprint for the special issue of BioMedical Engineering OnLine journal published!
31 Oct 2023
"StairNet: Visual Recognition of Stairs for Human-Robot Locomotion", BioMedical Engineering OnLine
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"New frontiers in Biomechanical Engineering & Robotics with Semi-Supervised Deep Learning" talk at Data Science UA.
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"Efficient Visual Perception of Human-Robot Walking Environments using Semi-Supervised Learning", IROS 2023.
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Adversarial robustness, adversarial sparsity, L-inf sparsity, novel n-Ary hybrid search.
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Our poster got accepted at ICAIR 2023!
3 Apr 2023
Semi-Supervised Learning for Efficient Perception of Human-Robot Walking Environments
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A pioneering course connecting senior undergrads from Ukraine (NaUKMA and UCU) with UofT PhD students for collaborative, cross-country research
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