About event
Over the past year, the way engineers work with AI has fundamentally changed, not just the tools, but the workflows themselves. We’ve moved from simple chat-based coding to deploying autonomous agents, integrating MCP, and building entire AI ecosystems around real engineering processes.
Join SPD Technology’s AI/ML experts as we break down how engineering work is evolving. We’ll explore where AI delivers real efficiency gains and where it introduces new challenges around cost, limitations, and service reliability.
What we’ll cover:
- Evolution & ROI: how approaches to GenAI have changed over the past year — where it truly adds value and where it falls short.
- Max Efficiency: where AI actually performs best — from automated test generation to architecture exploration and decision-making.
- New Scenarios: building AI ecosystems (MCP, knowledge bases, autonomous agents) and what engineers are now able to do differently.
- The Price of Progress: a pragmatic look at LLM economics, provider and model limitations, and service reliability — and how these factors are shaping new expectations for engineers.
Our speakers — engineers who work hands-on with AI, build ML systems, and integrate AI into real products will share their practical experience.
Speakers
Oleh Sklyarenko
Senior Engineering Manager at SPD Technology
Oleh has 20 years of experience in IT. For the past three years, he has been working as an Engineering Manager at SPD Technology, focusing on scaling engineering organizations for global clients. He has deep expertise in building efficient and high-quality SDLC processes that enable teams to adapt quickly to changing requirements.
Ivan Kachaikin
Applied AI & Machine Learning Engineer at SPD Technology
Ivan has 5 years of experience in AI & ML. He started with low-level Core ML tasks (primarily Computer Vision) and later focused on building and integrating LLM-based solutions into real-world products. His experience spans Robotics, Civil Engineering, Publishing, and Finance.
Sergey Maksymchuk
Applied AI & Machine Learning Engineer at SPD Technology
Sergey has 5 years of experience in Machine Learning and Data Science, covering the full ML lifecycle — from defining business goals and building data pipelines to training, deployment, and maintenance. His expertise includes time series forecasting, classical ML approaches, and NLP.
Volodymyr Gadiatskyi
Engineering Manager, Applied AI & Machine Learning Engineering at SPD Technology
Volodymyr has over 20 years of professional experience. At SPD Technology, he focuses on implementing advanced AI and ML capabilities to optimize workflows and accelerate product innovation. He leads the development of shared tools, expertise, and infrastructure that enable teams to effectively leverage AI in delivering solutions.
How to join?
- Register
- Make a donation starting from 300 UAH to the KOLO Foundation
- Join the YouTube stream on time, we’ll send the access link to all registered participants one day before the event
Register, donate, and let’s connect!
