Designing AI systems correctly from the start
14+ years building production software and AI systems for teams that need their infrastructure to work — not just demo.
Most AI projects fail during production due to architecture mistakes, scalability problems, fragmented systems, and poor implementation decisions. My focus is designing AI systems correctly from the beginning — not patching them later.
I work as an AI Architect with technical and operational teams building LLM applications, RAG systems, multi-agent automations, and the production infrastructure underneath them. Engagements range from architecture reviews and reference designs to full implementations and fractional architect roles.
I value disciplined engineering over hype: explicit state, deterministic orchestration, evaluation-driven development, and cost-aware design — the kind of foundations enterprise systems should have been built on from day one.
- Georgia TechComputer Science & Software Engineering
- University of HamburgMSc
- DeepLearning.AIAI Engineering & Machine Learning Architecture
- AWS Certified Machine Learning — Specialty
- Generative AI with Large Language Models
Areas of focus
Have an AI system to build or de-risk?
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