#45 WDTT - Data&AI Spotlight: AI and Engineering

18.00 - 18.10 Welcoming guests and networking

18.10 - 18.40 From monolith to aggregate meshFrom monolith - our 5Y journey in feature engineering area

Discover how we transformed its feature engineering landscape over five years, moving from a monolithic architecture to an innovative aggregate mesh approach. This session will highlight the importance of a long-term strategy in data engineering, key challenges faced, and the collaborative efforts between data science and engineering teams. Learn how systematic change management, a structured big data approach, and scalable architecture have driven efficiency and innovation in feature engineering.

Paweł Marcinkowski, Senior Manager Data & AI, Allegro Pay

Data & AI Leader at Allegro Pay, biggest deferred payment method in Central Europe. Together with a team of dedicated professionals (+30 people): data product managers, engineers, data scientists and analysts I am responsible for building the best customer finance experience in online e-commerce.

Mateusz Kroczyński, Manager, Data Engineering, Allegro Pay

Mateusz is a seasoned data professional and leader with 10 years of experience with a background in mathematics, currently leading Data & ML Platform at Allegro Pay.Over the years he worked in data centric & leadership roles - as a Lead Data Scientist in EY and in NielsenIQ, more recently working as Innovation Director in NielsenIQ with particular focus on NLP techniques. He is passionate about tooling for data professionals enabling them to produce high quality code easily and let them focus on what really matters - understanding the data and creating better models.

18.45 - 19.15 How XTB and Resistant AI work together to streamline client onboardin

Discover how XTB and Resistant AI collaborated to develop a cutting-edge pipeline for onboarding clients faster while ensuring security and compliance. This session will explore the integration of advanced fraud detection, document layout recognition, entity recognition, and risk assessment—leveraging a combination of Generative AI and classical machine learning techniques. Learn how this functional implementation brings real business value by automating complex processes while maintaining human oversight in critical decision-making.

Tomasz Gawron, Head of AI, XTB S.A

Laura Blažková, Technical Account Manager, Resistant AI

19.20 - 19.50 TBC

19.50 - 20.00 Competition

Win the ticket for Data&AI Warsaw Summit 2025

20.00 - 20.30 Networking