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AI-Guru/README.md

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Dr. Tristan Behrens

AI Guru | Deep Learning Expert | Educator

Born June 16, 1981 | Based in Würzburg, Germany

About

I'm an AI hands-on advisor specializing in Machine Learning and Deep Learning. Since January 2018, I've been working as a freelance teacher, consultant, developer, trainer, and mentor, helping organizations and individuals unlock the potential of artificial intelligence.

Education

PhD in Natural Sciences (Dr. rer. nat.) - Magna cum Laude Technical University of Clausthal (2006-2012) Dissertation: "Towards Building Blocks for Agent-Oriented Programming" Supervisor: Prof. Dr. Jürgen Dix Focus on Artificial Intelligence and Multi-Agent Systems (since 2004)

Diploma in Computer Science (Dipl.-Inf.) - Sehr gut Technical University of Clausthal (2001-2006) Thesis: "Static Analysis of C# Programs" First AI lecture attended in 2004

Professional Experience

AI Consultant | Xeptum (July 2024 - November 2024)

  • Generative AI for automatic content generation
  • Teaching and upskilling teams
  • Agentic workflows and agents
  • AI integration and implementation

AI Consultant | Schneider Electric (September 2024 - Present)

  • Teaching and upskilling teams in AI technologies
  • Generative AI in software development
  • Agentic workflows and agents
  • Technology consulting and implementation

AI Expert | Bildungscampus (April 2024 - Present)

  • MLOps implementation and best practices
  • Model Context Protocol (MCP)
  • Internal upskilling programs
  • Agentic workflows and agents
  • Technology scouting
  • Deep learning for speech impediments

AI Music Artist in Residence | KI Salon Heilbronn (2023 - March 2024)

  • Created and exhibited "Neuro Kybernetik Bach" AI music installation
  • Community engagement and AI education
  • Leveraging NVIDIA RTX 4090 infrastructure for AI music generation
  • Making AI more accessible and tangible through art

Co-Founder | Stealth-Mode Startup (2020 - 2021)

  • Developing AI-based music generation platform enabling high-quality music composition
  • Data Science and Machine Learning for music corpus analysis
  • Training neural networks (CNNs and RNNs) for polyphonic composition
  • Integration of rule-based systems for optimal UX

Deep Learning Expert | Child Growth Monitor (2018 - 2019)

Deutsche Welthungerhilfe

  • Advancing Data Science and Deep Learning for image processing
  • Mentoring and coaching development team
  • Implementing CNNs, Graph NNs, and Transformers for 3D point cloud analysis
  • Project: childgrowthmonitor.org

AI Guru | Freelance (2018 - Present)

  • Teaching and consulting on modern Machine Learning methods
  • Deep Learning and Data Science training for companies
  • AI product development as sparring partner
  • Knowledge acquisition and transfer

Topic Owner Deep Learning | Porsche Digital Lab Berlin (2016-2017)

  • Founding member of the lab
  • Introducing agile methods and maintaining knowledge base
  • Leading creative workshops and MVP development sprints
  • Technology scouting in startup ecosystem
  • Rapid prototyping and knowledge transfer

Senior Consultant | MHP - A Porsche Company (2014-2017)

  • Mobile technologies and Data Science
  • Middleware development and legacy system integration
  • Architect, teacher and mentor for Java-based web development, CI, and cloud-ready microservices

IT Consultant | Volkswagen AG - InnovationLab AppFactory (2012-2014)

  • iOS, Windows 8, web technologies, and Java Enterprise
  • Business applications, gamification, and connected car solutions
  • 2D and 3D visualizations

Research Associate & PhD Candidate | TU Clausthal (2006-2012)

  • Research, teaching, and development
  • Simulations in Artificial Intelligence
  • Focus on Multi-Agent Systems
  • Multi-Agent Programming Contest organizer and developer

Game Developer | Part-time (2010-2013)

Expertise

Core Competencies:

  • Practical knowledge transfer of complex topics
  • Research & Development (academia, industry, and intersection)
  • Software development (programming since the 1990s, current focus: Python)
  • Building study programs
  • International expert collaboration

Technical Skills:

  • Artificial Intelligence, Machine Learning, Deep Learning
  • Data Science (theory and practice)
  • Computer Vision (2D and 3D)
  • Natural Language Processing
  • Time Series Analysis
  • Reinforcement Learning
  • Transfer Learning and Representation Learning
  • Digital Signal Processing (audio/music)

Methodologies:

  • Agile Methods
  • Leader Effectiveness
  • Getting Things Done
  • Management and Self-Management

Teaching & Training

Regular instructor for companies and institutions on:

  • Deep Learning fundamentals and advanced topics
  • Machine Learning best practices
  • Data Science workflows
  • Neural network architectures (CNNs, RNNs, Transformers)
  • Practical hands-on coding sessions

Selected Clients: Daimler AG, Mercedes Benz Consulting, Data Science Retreat, SPICED Academy, ThoughtWorks, Paessler AG, and more.

Community

Deep Learning in Würzburg Meetup Organizer of regular meetups promoting AI knowledge in the Mainfranken region.

Publications

Author and co-author of numerous scientific publications on:

  • Multi-Agent Systems
  • Agent-Oriented Programming
  • Environment Interface Standards
  • Multi-Agent Programming Contest
  • Sound-based analysis and predictive maintenance

Google Scholar Profile

Contact

Philosophy

I'm a T-shaped person - combining broad expertise across multiple domains with deep knowledge in specific areas. As a scanner personality, I thrive on acquiring knowledge and sharing it with others. I'm passionate about helping people develop their abilities and interests, and I apply the same dedication to my own continuous growth.

My approach: Practice first, theory follows. I believe experimentation is the most efficient way to create and transfer knowledge - "Learning by doing" scales beautifully, even with larger groups.

Popular repositories Loading

  1. music-generation-research music-generation-research Public

    A straightforward collection of Music Generation research resources.

    601 37

  2. xlstm-resources xlstm-resources Public

    Resources about xLSTM by Sepp Hochreiter

    318 16

  3. MMM-JSB MMM-JSB Public

    Multi-Track Music Generation with the Transfomer and the Johann Sebastian Bach Chorales dataset

    Python 124 19

  4. helibrunna helibrunna Public

    A HuggingFace compatible Small Language Model trainer.

    Python 76 8

  5. arxiv-reader arxiv-reader Public

    Reads arXiv papers using Text-to-Speech

    Python 63 10

  6. gym-metacar gym-metacar Public

    OpenAI Gym wrapper for Metacar: A reinforcement learning environment for self-driving cars in the browser.

    Python 45 12