Timon Höfer-Mathematical AI Consultant | PhD-level ML & Computer Vision | Industrial AI, VLMs, Anomaly Detection & AI Product Leadership

I help companies turn mathematically complex AI ideas into robust, testable and production-ready solutions. My focus is at the intersection of mathematics, machine learning, computer vision and industrial applications: from technical feasibility, model and data strategy to experiment design, evaluation, product roadmap and implementation with engineering teams.

I’m especially strong where pure prompting or standard ML approaches are not enough: visual quality assurance, anomaly detection, vision-language models, 6D pose estimation, model evaluation, optimization, explainable AI and data-driven decision processes. I bring a mathematical background, research experience in deep learning and computer vision as well as practical experience in industrial and automotive AI contexts.

What I deliver for clients

I help teams set up AI projects on a solid technical foundation, make risks visible early and turn vague AI ideas into actionable project plans. This includes selecting the right model classes, setting up evaluation metrics, designing benchmarks, analyzing model errors, data strategy, technical due diligence and translating between management, product and engineering.

Typical project roles

• AI/ML consultant for mathematically challenging use cases
• Applied machine learning engineer for computer vision and multimodal AI
• Consultant for vision-language models, model evaluation and AI evaluation
• AI product owner / technical product lead for enterprise AI initiatives
• Advisor for industrial anomaly detection, quality assurance and explainable AI
• Sparring partner for AI strategy, feasibility, architecture and roadmap

Project types that fit best

I’m particularly interested in projects where AI is not just demonstrated but rigorously validated and integrated into real processes. These include industrial computer vision systems, automotive and mobility applications, AI-driven quality assurance, multimodal systems, LLM/VLM evaluation, technical AI strategy, proofs of concept with a clear production perspective and roles that bring together research, product and engineering.

Positioning

My added value is in combining mathematical depth, modern AI methods and product-oriented execution. I enjoy working with teams that want to solve demanding technical problems and need someone who understands both the modeling side and the business and product logic.