All the ML/AI in 2025! We would like to invite you for the next PyData Warsaw Meetup - 2 great speakers, tons of knowledge and discussions

19:00 - Piotr Mierzejewski, Sunscrapers - "Overview of Data Test Types in dbt: From Built-In to Custom Solutions" About Topic: Ensuring data quality and the correctness of analytical logic is a crucial part of data pipelines. DBT offers a powerful framework for testing, but it also comes with certain limitations. In this session, we will explore the various types of data tests available in DBT and discuss custom approaches you can implement to address specific challenges and tailor testing to your unique needs. About Speaker: I am a Data Engineer with over 4 years of experience and a solid academic background in computer science. Throughout my career, I have worked on projects in the petrochemical, recruitment, healthcare, and financial sectors, which has given me a broad understanding of data across different contexts. This experience allows me to quickly grasp the business goals behind the data and to manage and transform it in ways that generate the greatest value for the organization. On a daily basis, I work with Python and SQL technologies, which are my primary tools. I value these languages for their versatility and capabilities, but I am equally comfortable supporting projects that use Java, JavaScript, or C#. I am not limited to a single technology stack and can quickly adapt to new tools to complete tasks effectively. I have also supported projects from the front-end side (React) and taken on roles as a tester or team leader when project needs required it. I am confident that my flexibility and readiness to take on different roles within a team contribute to achieving the best results. I approach my work with a craftsman’s mindset, focusing on building practical, reliable solutions that solve real problems. I'm committed to constantly improving my skills, adapting to new tools, and finding efficient ways to make data truly useful. For me, success means delivering solid results and adding genuine value to each project I take on.

19:45 - Mateusz Modrzejewski, Politechnika Warszawska - "MIDI, those cheesy sounds from the 90s? Wrong! Symbolic music processing with Python"

About Topic: “MIDI, those cheesy sounds from the 90s?" is an actual question some guy asked me at an AI conference one day. What an inspiring question! This talk flips the outdated view of MIDI as retro noise, showcasing it as a powerful format for representing and analyzing music. While some think it’s obsolete, MIDI remains the backbone of modern music production and a very active research topic in machine learning. This talk unpacks MIDI’s structure and demonstrates how Python libraries like mido, pretty_midi, and MidiTok turn it into a tool for research and creativity. From visualization to music generation, practical examples reveal the modern applications of symbolic music. The takeaway? Python makes it easier than ever to explore MIDI’s potential and apply it to a wide range of musical and analytical tasks. About Speaker: Mateusz Modrzejewski, PhD Software engineer, researcher, conference speaker, author and co-author of papers on music information retrieval and audio AI. Assistant Professor at the Institute of Computer Science of Warsaw University of Technology, where he leads an Audio Intelligence Lab. Previously at Apple (Music Machine Learning team, Apple Music). Has also worked with research and engineering teams of other Fortune 500 companies, providing AI solutions and analytics. Apart from his scientific and engineering work, he is also an experienced touring musician, having performed for audiences of up to 150,000 people and having toured in Poland, China, Vietnam, the UK, Germany, Ukraine, Lithuania and Estonia, among others. Some of the artists he has played with include The Dumplings, Grubson, Marek Dyjak, Chłopcy Kontra Basia, Maria Sadowska, Pablopavo i Ludziki, Majka Jeżowska, Michał Milczarek Trio.

Venue: Centrum Innowacji Politechniki Warszawskiej, ul. Rektorska 4 Room 3.12 (3rd Floor)