Applied AI consulting and custom agentic tooling for engineering and management teams. From architecture and PoC through to production deployment.
95% of enterprises report zero measurable profit impact from AI adoption. The shortfall is not in the models. It is in the engineering, the operations, and the discipline required to make a model survive contact with a real organisation.
I work in the gap between a working notebook and a system someone else can run on a Monday morning without calling me. That gap is where 80–85% of projects quietly die, and where the real economics live.
Phase II of an advisory and implementation engagement for a German small-medium enterprise (Mittelstand). Architected custom Node.js middleware bridging Toggl, Absence.io, and internal CRM tool APIs into a centralized Power BI analytics engine for executive leadership.
Multi-step LLM pipelines with tool use, retrieval, and evaluation. Built for production latency and cost constraints.
KPI design, Power BI dashboards, Node middleware to bridge systems that don't speak to each other.
Data infrastructure for academic and regulatory research: PDF ingestion, LLM extraction, reproducible pipelines.
Internal tools that collapse hours of operations work: note-to-ticket, report generation, more.
Selected case studies with verified, quantifiable results. Full index available at /projects.
A German small-medium enterprise (Mittelstand) with no end-to-end view of efficiency. Mapped their operational processes and engineered automated ETL pipelines unifying fragmented time-tracking (Toggl), HR management (Absence.io), and internal CRM tool into 8 executive Power BI dashboards with 23 DAX metrics.
Read full case studyProduction self-hosted n8n workflow automation platform orchestrating multi-service webhooks, scheduled cron triggers, and custom API integrations across local containerized nodes, enabling un-capped 24/7 background execution without commercial task quotas.
Read full case studyA TRR 266 project needed financial statements and audit reports from six years of STOXX Europe 600 annual reports, machine-readable. Built an agentic data pipeline: automated fetching, PDF parsing, LLM-backed section extraction, and structured output into an NLP dataset with page-level provenance. Formed the empirical basis for SSRN 4763140.
Read full case studyI work directly with decision makers. The shortest line between a problem and a working system.
Engagements run on transparent, fixed-scope milestones (6 to 14 weeks). Clear technical specifications and deliverables agreed upon before implementation.
Success is measured by outcome: a live analytics engine, a verified agentic pipeline in daily operation, a system someone else can run without me.
If a problem is ill-suited for current AI architectures or outside my core expertise, I identify that during the initial technical discovery call.
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