# Simon Stieber

> Dr. Simon Stieber - Senior AI Engineer specializing in Machine Learning, Deep Learning, NLP, and industrial AI applications.

## Overview

Simon Stieber is a Senior AI Engineer at XITASO GmbH in Munich, Germany. He holds a PhD in Computer Science from the University of Augsburg (2023), with research focused on Machine Learning for carbon fiber reinforced polymer (CFRP) manufacturing.

## Current Role

Senior AI Engineer at XITASO (since February 2025):
- AI engineering: knowledge retrieval, chatbots, NLP, RAG, computer vision
- MLOps: model training, deployment, maintenance
- Software engineering with and around LLMs
- Business development and AI strategy
- Speaking at conferences and expert groups

## Expertise

- Large Language Models (LLMs) and RAG systems
- AI Coding Assistants and Agentic Coding
- Natural Language Processing (NLP)
- Machine Learning & Deep Learning
- Computer Vision
- Reinforcement Learning
- MLOps and AI operationalization
- Industrial AI applications

## Technical Skills

- Python, PyTorch, TensorFlow/Keras
- LangChain, LangGraph
- Scikit-Learn
- Docker, Kubernetes, MLOps
- Shell scripting, LaTeX

## Recent Publications

### Survey Paper (2026)
"From Code Production to Code Orchestration: How AI Coding Assistants are Reshaping Software Engineering" — 27-page survey synthesizing 75+ peer-reviewed studies on the real impact of AI coding assistants. Introduces the "testing paradox," maps ~30% vulnerability rates in AI-generated code, and coins the term "comprehension debt."
- ResearchGate: https://www.researchgate.net/publication/401655474

### Industry Blog Series (2025)
"Operationalisierung von KI-Lösungen" - Three-part series on XITASO tech blog about bringing AI from prototype to production:
1. Skalierung & Kostenoptimierung - Caching, multi-model routing, Kubernetes autoscaling
2. Monitoring, Backup & Model-Retraining - Drift detection, backup orchestration, maintenance
3. Security-by-Design - MLOps security, prompt injection defense, best practices

### Academic Research
- PhD Dissertation: "Machine Learning for Carbon Fiber Reinforced Polymer Production" (2023)
- "Control of RTM processes through Deep Reinforcement Learning" - ICMLA 2023
- "Inferring material properties from CFRP processes via Sim-to-Real learning" (2023)
- "PermeabilityNets: Comparing Neural Network Architectures" - ICMLA 2021
- "FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs" - ECML 2020

## Speaking & Presentations

- Invited Talk: "Intelligentes Wissensmanagement" at FH Südwestfalen (September 2025)
- VDMA Machine Learning Expert Group member (since May 2025)
- Conference talks at ICMLA 2023, ICMLA 2021, ECML-PKDD 2020, ETFA 2020/2021.

## Contact

- Website: https://simon-stieber.de
- Email: hi@simon-stieber.de
- LinkedIn: https://www.linkedin.com/in/simon-stieber/
- GitHub: https://github.com/s1st
- ResearchGate: https://www.researchgate.net/profile/Simon_Stieber

## Source Files

- Main page: https://simon-stieber.de/
- CV (PDF): https://simon-stieber.de/texts/Stieber_Simon_CV_2025.pdf