About me

Hello! I am Stefan Ellenrieder, a computer scientist specializing in Artificial Intelligence with a focus on Generative AI, agentic AI, Machine Learning, and Computer Vision.

I work on applied AI and software solutions in research and development, turning AI methods into practical systems — from requirements and software architecture to prototyping, implementation, evaluation, and deployment.

My background in mobile and full-stack development helps me build AI systems with a strong focus on technical implementation, usability, and practical applicability.

I am passionate about analyzing complex problems and developing solutions that create real-world value. Challenges motivate me, and I work in a structured, independent, and solution-oriented way.

Technical Focus

An overview of my technical focus from my studies and activities in research and development.

Generative and Agentic AI

Development of AI-based systems using Large Language Models, Retrieval Augmented Generation, and agentic workflows.

Machine Learning and Computer Vision

Development of AI solutions for analyzing data, images, and visual information in practical application scenarios.

Full-Stack and Mobile App Development

Practical experience in backend systems, mobile applications, and user-oriented software solutions.

Software Architecture

Design of maintainable software systems with a focus on clear structure, scalability, integration, and deployment.

Project Responsibility

Responsibility for planning, implementation, coordination, and evaluation of software and AI projects.

Requirements Engineering

Analysis of requirements, definition of use cases, and translation of domain-specific problems into technical solutions.

Relevant software projects

Detection of planting positions for an autonomous planting robot

  • Machine Learning and Computer Vision
  • Research
  • Goal: Autonomous Planting
Source: AI-generated with ChatGPT
Source: AI-generated with ChatGPT

Development of a chatbot with domain expertise in mechanical engineering

  • Large Language Models
  • Research
  • Goal: Support mechanical enginnering development processes

Design and development of an app for SV Stöttwang

  • iOS and Android app with Firebase backend
  • Volunteer work
  • Goal: Increase efficiency in the club’s day-to-day operations
Source: AI-generated with ChatGPT

Development of an AI-based
e-mail agent

  • Large Language Models
  • Research
  • Goal: Increase employee efficiency

Automated classification of scientific publications using Large Language Models.

  • Large Language Models
  • Research
  • Goal: Increase efficiency of the screening
Source: AI-generated with ChatGPT
Source: Furhat Robotics

Integration of Large Language Models into a Furhat robot

  • Large Language Models and robotics
  • Research
  • Goal: Interactive robot for context-sensitive dialogues

Implementing a knowledge augmented natural language assistant

  • Large Language Models
  • Master’s thesis
  • Goal: Reduce the workload of customer support
Source: Soloplan

Automated labeling of panel site plans

  • Computer Vision and Deep Learning
  • Master’s degree project
  • Goal: Increase employee efficiency

Recognition of success patterns in company data

  • Machine Learning and Data Science
  • Bachelor’s thesis
  • Goal: Predicting the success of startups
Source: Datasolut

Design and development of a smartphone app for displaying real-time machine data in the context of Industry 4.0

  • iOS app
  • Bachelor’s degree project
  • Goal: Increasing employee efficiency

Refactoring and further development of the Android app “aumentoo”

  • Android app
  • Goal: Provision of a mobile version of aumentoo
Source: AI-generated with ChatGPT

Development of an iOS app “Infoscreen“ for displaying server statuses

  • iOS app
  • First own project
  • Goal: Increase productivity

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