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Stefan Libiseller

I enhance and build products with deep learning and consult on how to use AI effectively. Available for hire, Vienna and remote.

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Social Media Remove Prediction

2019 · is one of the leading social media management tools in the German speaking region. As part of their new automation features, I've developed a deep neural network that can automatically detect and flag toxic posts, improving the task of moderating social media pages tremendously.

Developed with PyTorch, the model implements a state-of-the-art NLP architecture to deliver production-ready performance on such challenging data as social media posts.

Social Media Sentiment Prediction

2019 ·

By automatically assigning social media posts a sentiment, trends can be detected early on, when there is still time to react. For, one of the leading social media management tools in the German speaking area, I have developed a deep neural network that accurately assigns one of three sentiments to social media posts, despite a very imbalanced trainings data set.

Dynamic Feature Pyramid Network for Object Detection

2018 · Open Source

This project combines the MobileNetV2 architecture of Inverted Residual Layers with a dynamically generated Feature Pyramid Network. The network outputs an array of feature maps with high semantic meaning in different resolutions.

Twitter Follower Analysis


In this multivariate data analysis, I explore the relationship between the key features of my Twitter followers.

Let's automate the boring stuff!

I am a freelance Data Scientist from Vienna and available for projects and consulting. If you have any questions, feedback or just want to say "hi" drop me a line on Twitter or send me an email. :)

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