Daniel

Technical problem solver, automation workflows, data pipelines and AI tooling. Core Domains Process automation: Make, n8n, API orchestration, webhook pipelines Data handling: structured data modeling, SQL logic, JSON workflows AI systems: local model pipelines, prompt engineering, agent-based automation Debugging complex multi-system environments Working Style Structured, process-driven High tolerance for technical complexity Prefers reproducible systems over ad-hoc fixes Optimizes for automation and scalability Iterative refinement mindset What I Provide Clearly defined objectives Detailed system constraints Technical context and logs Willingness to iterate deeply What I Expect from AI Systems Structured outputs Explicit assumptions Edge-case consideration System-level thinking No superficial answers Optimizing for clarity, leverage and system intelligence.