Business before technology
I start with how your operation makes money, where it loses time and which decision is worth improving first.
I combine domain knowledge, business strategy and AI engineering. My team adds the specialist depth needed to build, secure and support the product inside your operation.
I start with how your operation makes money, where it loses time and which decision is worth improving first.
My team and I build inside the tools and processes your people already use, so the product becomes part of the work instead of another login.
We measure the result, improve the product and remain available after launch. You can stop at one win, connect more, or bring me into the team.
Examine the workflow, diagnose what actually costs you, treat the value chain, then monitor the result — the discipline of a clinic, applied to how your business runs.
We embed on the floor and connect to the systems your team already runs — no migration, no new system of record.
We find the bottleneck that quietly costs you the most — not the one that shouts loudest in the room.
We build the fix into the real workflow and connect it across the value chain, so each useful product can share context with the next.
We measure the outcome in your own numbers and hand over a system your team owns, runs and extends.
Selected deployments from the founder's track record across regulated European enterprises — energy, finance, safety and the public sector.
An NLP engine trained on 200,000 legacy emails across 650 categories routes technical inquiries to 400 experts under a guaranteed 4-hour SLA — saving ~$200k in manual overhead.
A multi-agent review swarm on secure GCP extracts unstructured data, analyses vectorised rules and auto-audits — cutting review time 60% and lifting anomaly detection 25% for a Swiss private-wealth firm.
A Llama-class 70B model productionised in an air-gapped Red Hat OpenShift cluster for a national ministry. LoRA fine-tuning and 4-bit AWQ quantization cut the footprint 75% to meet strict latency SLAs.
Ten-plus years of safety reports vectorised into Weaviate with a custom Cohere ReRank model — instantly matching incoming field reports to 16,000 regulatory controls.
A cloud-native platform on Azure Synapse and Databricks unifies real-time telemetry from wind, hydro and solar networks — replacing legacy systems for compliant governance of critical national infrastructure.
Deterministic time-series models forecast bio-production metrics 24 months out at 40% higher accuracy than established legacy baselines — turning planning from guesswork into a schedule.
A predictive model trained on 600+ turbine sensors and 350+ alarm codes flagged critical failures a full week in advance — turning unplanned outages into scheduled service windows across the fleet.
Founded and grew a tech consultancy to €1M revenue with a team of 13, serving 30+ Swiss startups end-to-end — proof this team knows how to hire, deliver and sustain, not just prototype.
After the 2008 crisis, co-led a government-funded program that moved hundreds of displaced professionals into high-demand tech roles — structured pathways with real placements, not certificates. The AI transition, rehearsed.
Built on the platforms your data team already trusts
Each industry page shows the products you can commission now and how they connect. The first decision stays deliberately small; the wider expertise is there when you need it.
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