Dmytro Kuzmenko's Portfolio

Dmytro Kuzmenko

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dmytro.o.kuzmenko@gmail.com



Hi there!

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:


Recent News

Highlights

ai for productivity

I have contributed a module on AI in cybersecurity for a Google's AI for Productivity course


aibigdata conf

AI & BigData Online Day is a bi-annual conference for Data Science Community in Ukraine, Machine Learning track


icteri conf

Poster section, "Balancing Performance and Efficiency in Zero-shot Robotic Navigation" paper


robotics meet

A big and curious audience with so many questions that I felt as if I were post-lecture Andrej Karpathy at some point :)


summer camp

A 4-day long productive engagement with 9 teams that were working on creating and improving their own ideas


trc

A short talk on my SSL research for human-robot locomotion at TRC 2024


summer school

An amazing week at Una Europa Summer School in Italy, covering topics like LLMs, AI regulation, and humor in AI


icteri preprint

My first single-author work focused on optimizing resources in zero-shot Habitat-Matterport 3D object goal navigation in robotics


setuni

Teaching a course of Machine Learning in one of the master's programs


stairnet

Our StairNet comprehensive overview has been accepted and published in the special issue of BioMedical Engineering OnLine journal


rl_comp

Bomberland-centered RL Competition is an event for students of different Ukrainian universities to practice and hone their skills in Reinforcement Learning


robosumo

6 teams, more than 40 participants, development and construction of a robot to participate in the arena fights


dsua2

"StairNet: Visual Recognition of Stairs for Human-Robot Locomotion", BioMedical Engineering OnLine


dsua2

"New frontiers in Biomechanical Engineering & Robotics with Semi-Supervised Deep Learning" talk at Data Science UA.


iros

"Efficient Visual Perception of Human-Robot Walking Environments using Semi-Supervised Learning", IROS 2023.


thesis

Adversarial robustness, adversarial sparsity, L-inf sparsity, novel n-Ary hybrid search.


poster icair

Semi-Supervised Learning for Efficient Perception of Human-Robot Walking Environments


csc

A pioneering course connecting senior undergrads from Ukraine (NaUKMA and UCU) with UofT PhD students for collaborative, cross-country research