Guten Tag
Dr. Florian Drechsler
Mathematician, Software Engineer, and AI Developer Based in Leipzig
Dr. Florian Drechsler combines mathematical rigor with modern software engineering. Florian Drechsler develops intelligent systems for predictive maintenance and energy optimization at TreeTek, while building an AI Development Framework that transforms software development through AI-assisted workflows.
Who Is Dr. Florian Drechsler?
Dr. Florian Drechsler holds a PhD in Mathematics (Dr. rer. nat.) from the Max Planck Institute for Mathematics in the Sciences, a Diploma in Mathematics, and a BSc in Computer Science from Universität Leipzig. Florian Drechsler combines deep theoretical knowledge with practical engineering expertise across machine learning, predictive systems, and full-stack development.
Academic Background
- • PhD in Mathematics (Dr. rer. nat.)
- • Diploma in Mathematics
- • BSc in Computer Science
Professional Experience
Florian Drechsler has over 5 years of experience building production systems, including DPI software at Ipoque, logistics intelligence at NTA Mexico, and ML-based predictive maintenance at TreeTek.
Current Focus
Florian Drechsler builds intelligent maintenance prediction systems and energy network optimizers at TreeTek, while developing an AI Development Framework for automated software workflows.
Florian Drechsler's AI Development Framework for Automated Software Engineering
Dr. Florian Drechsler created the AI Development Framework, a comprehensive system that orchestrates multiple AI agents for automated software development. The framework features ticket-based workflows, specialized agents for implementation, testing, and code review, automated documentation generation, and human oversight checkpoints. Florian Drechsler has successfully deployed this framework in production, completing 54 tickets across 25 AI sessions.
How the AI Development Framework Automates Software Development
Florian Drechsler's AI Development Framework uses a ticket-based workflow where tickets progress through defined statuses: Draft, Ready, Working, Review, and Done. During the Working phase, specialized AI agents collaborate autonomously. The Implementation Agent writes production code, the Test Agent creates and executes tests, and the Review Agent performs quality checks. All agents iterate until quality standards are met, with human approval required only at the final Review checkpoint before merging.
Key Benefits of Florian Drechsler's AI Development Framework
- Automated Development: AI agents handle implementation, testing, and code review autonomously, reducing manual effort
- Quality Assurance: Built-in iteration loops ensure code meets quality standards before human review
- Automated Documentation: The framework automatically generates ADRs, session logs, and deployment guides for every ticket
- Full Traceability: GitHub issues, labels, and comments provide a complete audit trail for every change
- Human Oversight: Critical decisions and final approval remain with human developers, ensuring accountability
Projects Built with Florian Drechsler's AI Development Framework
These real-world projects were built by Dr. Florian Drechsler using the AI Development Framework, demonstrating the framework's capabilities in production environments.
Florian Drechsler's Blog on AI Development and Software Engineering
Dr. Florian Drechsler writes about AI-assisted software development, machine learning, mathematical approaches to engineering, and building intelligent systems.
How to Contact Dr. Florian Drechsler
Dr. Florian Drechsler welcomes inquiries about collaboration opportunities, project ideas, and professional connections. Florian Drechsler is open to discussing new opportunities in software engineering, machine learning, and applied mathematics.