Co-founder of Data for Good Madrid, a non-profit leveraging data for social impact, and Consultant & Data Scientist at Next Digital, where she leads responsible AI projects. She combines a background in mathematics and statistics with technical expertise and a critical view on algorithmic systems. She also contributes to Sesgo404 (Sirviendo Código YouTube), analyzing AI ethics and its social impact for a broader audience.

Christoph has been working in software engineering and data engineering for 10+ years.

Coming from a mathematical statistics background he discovered his passion for Python in the late 2010s and for railway-oriented programming in the early 2020s.

Christoph's non-technical interests include parenting, craft beer, history, and Bayern Munich.

I am a Senior Data Scientist and Engineer at inovex GmbH with a Ph.D. in Theoretical Physics and a strong foundation in complex systems, non-linear dynamics and mathematical modeling. Following an extensive academic career researching computational neuroscience and earth sciences, I transitioned into the tech industry to focus on end-to-end machine learning solutions.

A machine learning engineer at Coefficient AI, a consultancy building bespoke AI for the public and private sectors. With recent projects centred on evaluating large language models, from auditing Gemma 4 for emergent misalignment to building benchmark evaluations for the UK government, including one for deepfake detection

By day, he works as a Python Software Developer at Ørsted, helping automate simulation workflows for power engineers. By curiosity, he enjoys exploring Python internals, performance tools, and the strange ways developers convince themselves their code is fast before measuring it.

Experienced engineering leader with a strong interest in distributed, highly scalable, and cloud-based systems.
Operated for years in engineering leadership roles, focused on cloud-native architecture and delivery of large-scale projects on the three major public cloud providers: AWS, Azure, and GCP.
Regular speaker at conferences and meetups.
Federico holds an MSc in Software Engineering from City University London

Florian is Head of Data Science & Mathematical Modeling at inovex GmbH, an IT project center driven by innovation and quality, focusing its services on ‘Digital Transformation’. He holds a PhD in mathematics, has more than 10 years of experience in predictive & prescriptive analytics use-cases and likes everything math 🤯

I am a Software Architect at a manufacturing company, specializing in building reliable products and establishing solid DevOps practices with Python from the ground up. Driven by curiosity and hands-on experimentation, I love tackling complex technical challenges and optimizing workflows. Outside of engineering, I run coding side projects, share thoughts on my personal blog, and enjoy deep conversations about technology and society, valuing individuality as much in tech as in everyday life.

Hilal Işık is a Berlin-based data analyst, amateur endurance athlete, and senior data analytics coach specializing in Python, pandas, SQL, dbt, and BI tools such as Superset, and Tableau. She works at the intersection of data, feminist research, and tech communities like PyLadies, focusing on data ethics, AI, and knowledge transfer. She is also a free researcher with a focus on feminist research. In this context, she is the author of the book Rebel With Rhythm, Shatter With Words(2021)

Data Engineer at inovex since 2022, full-time software engineer since 2018, coder for as long as I can remember. With my experience working on data warehouses and machine learning applications from small tests up to international deployments, I enjoy eliminating bugs and bottlenecks, getting cool systems online and writing beautiful code. Still proud of the time when a colleague complained that I made deploying to production too predictable and therefore boring.

Michael Inden ist Java- und Python-Enthusiast mit über 25 Jahren Berufserfahrung. Er hat bei diversen internationalen Firmen in verschiedenen Rollen etwa als Software-entwickler, -architekt, Teamleiter, CTO, Head of Development und Trainer gearbeitet. Derzeit ist er als Dozent für Software Engineering an der FH OST in Rapperswil tätig.

Darüber hinaus spricht er auf Konferenzen und schreibt Fachbücher wie "Java Challenge» / «Python Challenge" und "Einfach Java" / "Einfach Python".

Olena is a Staff Developer Advocate at Confluent and a recognized expert in data streaming and analytics. With two decades of experience in software engineering, she has built mission-critical applications, led high-performing teams, and driven large-scale technology adoption at industry leaders.

Lecturer and Head of Quantum Lab at Zurich University of Applied Sciences, and Academic Lead of the Innosuisse AI Booster Expert Group on Quantum Algorithms. Pavel has 9+ years in applied data science across bioinformatics, banking, network analysis, and online gambling services. He has a PhD in Theoretical Computer Science, and before moving into research and teaching, he led data science teams in the gambling and banking industries.

Theodore is an early-career software engineer at Codethink Ltd. in Manchester, UK, where he works on the hardware-in-the-loop testing of embedded Linux-based operating systems against functional safety standards. In his spare time, he studies Combined STEM at the UK's Open University, and maintains Debian packages for Apache BuildStream and dependencies along with personal open source Python and Rust projects, FOSS computing being a hobby since the age of 7.

I'm a Data Scientist based in Munich with a Master Degree in AI. For five years I've been turning complex ML challenges — from computer vision to agentic systems — into working solutions. I'm passionate about making AI click for others: through workshops, interactive tools, and experiences that turn abstract concepts into "aha!" moments. When I'm not wrangling models, I explore ways to gamify learning and bridge AI with everyday understanding

Vince Nelidov is a Staff Data Scientist at Blue Yonder, with consulting experience across energy, banking, skincare, and agriculture. He combines advanced data science with business insight to create practical impact, uncover root causes, and build scalable long-term solutions. Passionate about data literacy, Vince draws on his background in statistics, research, teaching, and consulting to make data science accessible and useful.