Scalability. Reliability. Security. Observability. At Orcrist, led a GitOps platform for law enforcement on GKE. At E.ON, led AI into production for 8M+ energy customers — 2M+ monthly LLM interactions. At Allianz, cut cloud provisioning from over a year to weeks.
Real engagements, real constraints, real outcomes.
Notes on product, platform engineering, and what works at scale.
Four enterprise platform bets I got wrong at Volkswagen, E.ON, Bundesdruckerei, and Nelly — and what each cost. Hard lessons for platform leaders in DACH.
Enterprise platforms fail because nobody treats them as a product. Five signs I've seen across Allianz, Volkswagen, E.ON, Bundesdruckerei, and Gesund.de.
Ask me anything — answers grounded in the work on this site.
Platform migrations, team scaling, enterprise architecture: answers grounded in project work.
Start a conversation →Based on project dataTwo models, both shaped around your team and your stage.
A day with your leadership and engineers to map where AI actually pays off — and what your regulator will allow.
An outside eye to frame the problem, pressure-test it, and hand your team a plan they can execute.
You have the engineers. I own the roadmap, discovery, and the operating rhythm that outlasts the engagement.
What colleagues and clients say after the engagement ends.
“As project lead for the observability program, I valued that Tungi could align platform teams and business stakeholders around one playbook. He structured the rollout of OpenTelemetry and New Relic so that each new domain onboarded faster and with fewer surprises. Incident reviews are now grounded in shared journeys and SLOs, not just raw logs, which noticeably reduced detection and resolution times.”
Honest answers to the things cautious buyers want to know.
A 30-minute call to see if there's a fit. No pitch deck.
