Welcome to my GitHub!
I'm in my final semester of studying Artificial Intelligence and Data Science at the OTH Regensburg, specializing in machine learning, deep learning, and computer vision.
- 🔬 Research Student at OTH Regensburg — focusing on document digitization using deep learning and computer vision.
- 💼 Industry Experience:
- Audi AG – developed LLM-based assistants and an unsupervised model for driving style recognition.
- AVL Software and Functions GmbH – implemented an autocompletion feature using LLMs and classical NLP methods.
- Trinnovative GmbH – working student in data science and backend development.
- 🎓 Bachelor Thesis: Table Structure Recognition using Vision Transformer Autoencoder (ViTAE) with a custom-designed loss function.
- 🧩 Focus Areas: Deep Learning, Computer Vision, LLMs, and Predictive Analytics.
- 💻 Tech Stack: Python, C++, PyTorch, TensorFlow, Databricks, and PostgreSQL.
- 💬 Driven by: Turning complex data and visual patterns into interpretable AI solutions.
Visit my website → dominikhommer.live
Explore my projects, CV, and an AI Chatbot that can answer questions about my background and experience.
-
Document Digitalization using Deep Learning & Computer Vision
Developing a system to extract data from handwritten tables and digitize ornithological records for research and conservation.
Presented a poster at the DOG Conference 2025 on AI and Ornithology. -
Schula — AI Feedback for Student Essays
Educational tool that uses LLMs to compare student essays with learning goals and provide formative feedback for self-assessment. -
Driving Style Recognition (Audi AG)
Created an unsupervised deep learning model to analyze driving behavior from time-series vehicle data. -
Autocompletion Feature (AVL Software and Functions)
Built a full-stack predictive text feature using LLMs and traditional NLP approaches.
I'm always open to collaborations in machine learning, computer vision, and AI automation.
Let’s connect and exchange ideas about real-world AI applications and research!
