We are very happy to invite you to 36th edition of PyData Trójmiasto meetup!
Where: Łużycka 8B, Gdynia, Tensor Z building.
When: 23rd of September at 6PM
Registration: please register with your full first and last name. Don't forget to bring your ID when entering the event venue.
RSVP available until 6pm day before. In any urgent communication please let us know at kontakt@pydata-trojmiasto.pl
Parking: Free parking located along the street next to the building.
Agenda:
18:00 - 18:05 - Event boarding
18:05 - 18:10 - A few words about PyData
18:10 - 18:55 - AI Hammer Syndrome: Finding the Right Tool for the Right Job by Paweł Tomkiewicz (Huawei)
19:00 - 19:45 - Superpowers for your AI: Has MCP kept its promise? by Marcin Duszyński
19:45 - Networking & snacks
1st talk by Paweł Tomkiewicz:
AI Hammer Syndrome: Finding the Right Tool for the Right
We'll explore how the AI hype cycle has created a tendency to reach for complex solutions where simpler ones would work better. Drawing from real-world deployment experiences, this talk examines the common practice of deploying AI agents and LLMs when a pseudorandom number generator or basic rule engine would be more appropriate and maintainable. We'll consider how this "AI-first" approach often leads to unnecessary complexity and systems that are harder to debug and maintain. The difference between experienced engineers and newcomers isn't knowing how to build sophisticated AI systems—it's knowing when not to build them. We'll look at practical approaches to technology selection, where complexity is driven by actual requirements rather than trends. The talk will demonstrate how to identify the right point on the spectrum from simple randomization to advanced neural networks, examining the trade-offs between over-engineering and under-engineering. These concepts will be illustrated through a basic insurance system analysis, showing how different architectural decisions performed in practice and what we learned from both successful and failed approaches.
Paweł Tomkiewicz, Ph.D., is a Doctor of Physical Sciences and Principal Software Engineer at Huawei, where he specializes in Processing-in-Memory (PIM) and Phase-Change Memory (PCM) architectures for next-generation AI systems. He is also an assistant professor at WSB Merito University in Gdańsk, conducting research on nonlinear AI systems.
His career includes over 6 years at Intel Corporation, where he optimized Intel Optane memory systems and co-led Intel Capital incubation projects focused on memory-based AI acceleration.
He is the co-founder and CTO of the startup nexAI, a member of Intel AEiR (Entrepreneurs in Residence), and the author of publications in international scientific journals. His work combines low-level embedded-C programming with silicon-level optimization and modern AI architectures. He holds Innovation Master and Innovation Coach certifications from Intel Corporation.
2nd talk by Marcin Duszyński:
Have you ever wondered why your talented AI model cannot just 'talk' straight to a database? Or why integrating ChatGPT with corporate systems is still a disaster?
We will discover Model Context Protocol - a new standard impacting a way we develop AI applications. Not another yet framework but a fundamental change in approach to connect language models with real data and real systems. But does it bring an expected outcome?
Marcin is a Solution Architect focused on AI assisted delivery who once was more sceptical about AI but became enthusiastic after all. Continuously searching for areas where AI can bring real value to the users and engineers, not the hype alone.
