Michael Raffelsberger

Data Scientist

Experienced Data Scientist with 3+ years developing and deploying ML solutions across diverse industrial applications. Technical coordination experience as dev and epic lead, with expertise spanning classical ML, computer vision, and modern LLM technologies. I solve real-world problems with cutting-edge data science and machine learning solutions. Currently working on industrial AI at craftworks GmbH.

About Me

I'm a Data Scientist with a passion for solving complex problems through AI and machine learning. With an MSc in Data Science from the University of Vienna, I specialize in industrial AI applications including computer vision, time series, optimization and natural language challenges.

At craftworks GmbH, I currently work on cutting-edge projects ranging from parking space detection to visual anomaly detection systems. I love the intersection of theoretical knowledge and practical implementation.

Michael Raffelsberger - Data Scientist

My Journey

2022 - Present

Data Scientist

craftworks GmbH

Working on customer projects and contributing to internal products in the field of industrial AI. Topics ranging from computer vision to LLMs, time series analysis and optimization. Responsible for conceptualization, ML model development following SE best practices, packaging / containerization as well as MLOps topics such as retraining workflows.

Industrial AI Computer Vision Time Series LLMs & GenAI Python
2020 - 2023

MSc Data Science

University of Vienna

Graduated (1.2) with focus on machine learning and advanced data analysis techniques.

Machine Learning Statistics Python
2021 - 2024

MSc Artificial Intelligence Courses

JKU Linz

Completed multiple courses (1.1) focusing on deep learning and advanced AI topics.

Deep Learning AI Neural Networks
2020 - 2021

Applied Intelligence Intern

Accenture

Developed R packages for data quality and duplicate detection.

R Tabular Data
2019 - 2020

Teaching Assistant

University of Vienna

Conducted tutorials and office hours for Mathematical Optimization and Mathematics courses, helping students understand complex mathematical concepts.

Teaching Mathematics Optimization
2017 - 2020

BSc Statistics

University of Vienna

Graduated with distinction (1.0). Member of the Class of Excellence 2018/19. Built a strong foundation in statistical theory and applications.

Statistics Mathematics R

Technical Expertise

Python

Pydantic Pytest Flask asyncio NumPy Pandas Gradio Streamlit Matplotlib Seaborn Plotly

Machine Learning & Optimization

PyTorch (Lightning) scikit-learn LightGBM XGBoost CatBoost Darts OR-Tools

Computer Vision

OpenCV Detectron2 timm Anomalib

NLP / LLMs / GenAI

Hugging Face Unsloth NLTK LangChain LangGraph smolagents OpenAI Ollama

Software Engineering & MLOps

MLflow Kedro Docker Azure ML Git

Tools & Collaboration

Jira Confluence Scrum Google Workspace Claude (Code) ChatGPT Gemini GitHub GitLab Azure DevOps Ubuntu Slurm