Name: PyData Rhein-Main I AI Agent Hacks & GTC 2025 Insights
Start: 2025-03-27T17:30:00+01:00
End: 2025-03-27T20:30:00+01:00

Topic: AI & Data Science in practice
Venue: In person in Darmstadt and live on PyData.TV on YouTube

**Agenda**
5:30 pm Doors open
6:00 pm Welcome
6:15 pm **How to Hack an Agent – or Not · Thomas Fraunholz**
6:45 pm Networking with snacks and beverages
7:45 pm **AI & Data Strategy after NVIDIA GTC 2025 · Alexander C. S. Hendorf**
8:15 pm Lightning Talks
8:30 pm Networking with snacks and beverages
9:00 pm End

**🍿 How to join remotely**
Talk#1 - Thomas: [https://youtube.com/live/pTSKL6e66mE](https://youtube.com/live/pTSKL6e66mE)
Talk#2 - Alexander: [https://youtube.com/live/ooyT412QCSI](https://youtube.com/live/ooyT412QCSI)

**⚡️ Lightning Talks**
Feel free to submit a [proposal](https://bit.ly/talk-at-pydata-rm)

**How to sign up for on site**
It's important for us to make this meet up happen in a responsible way. We have limited seats available only.
**No limits to sign up remotely!**

This event will be in English.

\-\-\-\-

**Talk #1**
**How to Hack an Agent – or Not**
**Thomas Fraunholz**
**Senior Researcher AI @ Smart Labs AI**
Large language models (LLMs) are not as secure as they seem. Beyond their tendency to “hallucinate,” they can be manipulated using jailbreaks and adversarial prompts, bypassing safeguards designed to keep them in check. But the real challenge arises when LLMs are connected to agents with real-world capabilities—like sending emails. This talk explores the security risks of AI agents and the ongoing research into making them more resilient. Using the "Adaptive Prompt Injection: LLMail Inject" challenge from the IEEE Conference on Secure and Trustworthy Machine Learning as a case study, we’ll examine how Microsoft’s Phi3 and OpenAI’s GPT-4o-mini handle adversarial attacks. We’ll break down security techniques like LLM judges, task drift detection, and prompt shields—critical concepts as the EU AI Act's security mandates take effect in August 2025. Attendees will gain insights into the strengths and weaknesses of current AI security mechanisms and learn practical strategies for assessing the safety of AI agents in production environments.

**About the Speaker**
Thomas is an MLOps and NLP expert with a background in applied mathematics and embedded programming. He has led two publicly funded AI research programs with the German Aerospace Center and is currently focused on AI-driven cybersecurity at Smart Labs AI GmbH. In his spare time, he’s developing a low-budget drone system for detecting bark beetle infestations, blending his passion for AI and embedded systems.

**Talk #2**
**AI & Data Strategy After NVIDIA GTC 2025: What You Need to Know**
**Alexander C. S. Hendorf**
**AI & Data Strategy and Implementation @ opotoc GmbH**
NVIDIA GTC is one of the most influential conferences in AI, showcasing advancements in accelerated computing, robotics, healthcare, and finance. In this talk, Alexander Hendorf will share his key takeaways from the conference, focusing on what’s most relevant for the community. From cutting-edge AI hardware and model optimization to real-world applications in robotics, healthcare, and financial modeling, we’ll explore how these technologies impact data workflows. Expect insights on practical AI adoption, the latest breakthroughs in GPU acceleration, and what’s actually useful (vs. just hype) for data scientists and engineers.

**About the Speaker**
Alexander is a data intelligence and AI expert with over 20 years of experience in digitalization and data-driven decision-making. As an independent consultant, he's specialized in AI & data strategy and implementation. A frequent speaker and chair at international conferences like PyCon DE, PyData Berlin, and EuroPython, he is also a Python Software Foundation Fellow and EuroPython Fellow. He serves on the board of the Python Software Verband and, since 2024, has also been leading Pioneers Hub, a non-profit dedicated to supporting tech communities.

\-\-\-\-
**Acknowledgements**
Also a big thank you to our partners:

* [Hessian.AI](https://hessian.ai/), for hosting the meetup.
* [PIONEERS HUB](https://pioneershub.de), for organising.

**Contact**
If you have any questions or suggestions, please feel free to contact us via:

* Meetup
* Want to speak? [Submit a talk here](https://bit.ly/talk-at-pydata-rm).
* Interested in hosting an event? Here's our [Info-Deck](https://bit.ly/pydata-sw-infodeck) & [contact to the organisers](https://www.linkedin.com/groups/12851256/)!

Alexander C. S. Hendorf

Jurik Sommer

Simon Schampijer

Anna Tentscher

PyData Rhein-Main - Artificial Intelligence in Python

PyData

Pioneers Hub

Hessian AI

KPMG AG Wirtschaftsprüfungsgesellschaft

Denic eG

FactSet

Room, drinks & snacks. Talks & workshops.

KÖNIGSWEG

Technology

Data Science

Data Mining

Artificial Intelligence

Open Source

Software Development

Computer Programming

Python

Business Intelligence

Natural Language Processing

Data Analytics

Data Visualization

Big Data

Deep Learning

Data Science using Python

PyData Rhein-Main I AI Agent Hacks & GTC 2025 Insights

S1 I 03 Altes Hauptgebäude TU Darmstadt · Raum 175

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