Advisory · Build · Enablement
Data platforms and LLM systems that hold up in production.
Independent data and AI architect. From raw data to a platform that holds up in production — then advisory as your team takes it forward.
Focus areas
Data platforms
From raw, unused data to a queryable, governed foundation — end-to-end, on the stack that fits your scale and budget.
LLM & agent systems
From prototype to a production agent you can trust — retrieval, evals, and multi-agent architecture that don't silently fail.
Data foundations for AI
From an AI that guesses to one that answers correctly — data modeling, quality, and the knowledge layer underneath.
Case studies
Real engagements in software architecture, data engineering, and AI.
002 / 2025 A bigger model wasn't the answer: what actually makes an analytics agent hold up A lean prototype measured that for cents per analysis and kept the budget out of the wrong investment.
Data Agents PoC
→ 001 / 2025 A serverless AWS data platform that turns multi-TB IoT data into analytics — for the price of a team lunch Designed and built a lean, serverless data platform that lets a smart-buildings IoT company store and analyze terabytes of sensor data at a near-trivial running cost — and gave their team a developer workflow that spins up new data projects in minutes. Data AWS
→ Thoughts
Thinking out loud about tech, data, and the consulting life.
What Are We Actually Trying to Achieve? Why chasing the next technology hype is a trap — and why the right technology decision starts with the question nobody likes to ask.
technology strategy consulting
2 min How a Severed Fiber Optic Cable Sparked My Passion for Data How analyzing faults at Deutsche Telekom in Bonn — and a perceptron trained in 2015 — turned into a lasting passion for turning data into real value. data machine-learning career
6 min Hello World A long-overdue first post on why the tech guy who builds for everyone else finally built something for himself. introduction consulting behind-the-scenes
3 min Services
Three ways to work with your team — advise, build, enable.
01
Advisory
Helping you understand what to do.
- Sparring partner for engineers and managers.
- Technology evaluations — a detailed report with comparison, pros and cons, and a clear recommendation.
- Reviews and audits of data & AI architecture and applications.
02
Build
Building the thing — on real data, in production.
- A proof of concept, concept, or design you can build on.
- End-to-end data & AI platforms.
- Custom web, data, and AI applications.
03
Enablement
Equipping your team to carry it forward.
- Technology training so staff use new tools right from the start.
- Ideation workshops to find new solutions to old problems.
- Strategy workshops to build a roadmap for the organization.