Dennis Schulz
TNG Technology Consulting GmbH, Senior Consultant
TNG Technology Consulting GmbH, Senior Consultant
Heidelberg, Germany
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Dennis Schulz is a Senior Consultant at TNG Technology Consulting. He holds a PhD in low temperature physics from the University of Heidelberg. Besides being a programmer, he organized and hosted the TV show Quasi Klar for RNF, published a book that was translated to Korean and Russian, and won Science Slam competitions all over Germany. As part of the Innovation Hacking team at TNG, he worked on different AI showcases, fine-tuning embeddings, and data mining.
Dennis Schulz ist Senior Consultant bei TNG Technology Consulting. Neben seiner Arbeit als Software Engineer organisierte und moderierte er die Fernsehsendung 'Quasi Klar' für RNF. Er veröffentlichte das Buch 'Goethes Faust und Einsteins Haken' im Rowohlt Verlag und gewann Science Slams in ganz Deutschland. Seine Promotion in Tieftemperaturphysik absolvierte er an der Universität Heidelberg. Als Mitglied des 'Innovation Hacking'-Teams arbeitet er an AI-Showcases, dem Fine-Tuning von Embeddings und Projekten im Data Mining.
Area of Expertise
Topics
Finally Understand Embeddings - And You Will Never Have to Search for the Right Emoji Again
Embeddings are the foundation of how Large Language Models understand the world. Yet, when you try to read about them, you are bombarded with scary words like tensors, matrices and multi-head attention.
No need! Let's try and actually get a grip on how Embeddings work. Join us to understand how powerful they can be as a tool for Natural Language Processing. Of course, we will bring our own demo application that adds a correct, fitting and tasteful emoji to whatever chat message you feed it with - so your parents will finally be able to pick the correct emoji when writing to you.
We will explain why we translate language into high-dimensional vectors. Then, we will build our sample application for emoji search, explaining semantic search, finetuning and multi-modal embeddings along the way. We will also give an overview over benchmarks and how to scale your semantic search application.
The Sound of Privacy – What Your Spotify Data Reveals About You
It's just a music app – but how much can one actually learn about a person when granted access to their Spotify data? In this talk, we present what we learned about our colleagues through their Spotify user data.
By leveraging the GDPR, we looked into various questions: How often do people lose or damage their phones? Where did they travel? And how regular are their sleep patterns? Alongside detailed insights into Spotify data, we provide a brief overview of the legal framework and examine how strictly other companies comply with the GDPR. While everyone in theory understands that data can hold immense power, this talk presents concrete examples – particularly given that we're dealing with what seems like just a music app.
Moldova DevCon Upcoming
The Sound of Privacy – What Your Spotify Data Reveals About You
TDWI München Upcoming
PyCon & PyData Upcoming
Restaurants around train stations are bad and I can prove it
AI Lowlands 2025 Sessionize Event
data2day
Der Klang der Privatsphäre – was deine Spotify-Daten über dich verraten
BaselOne
Der Klang der Privatsphäre - was deine Spotify-Daten über dich verraten
Budapest Data+ML Forum 2025 Sessionize Event
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