AI and creativity
Talk at Front Conference on what AI changes about creative work, and what it does not.
Templating engine behind 15% of Beekeeper content
Distributed templating engine that cut customer setup time by 90% on a platform with 10M users.
Java Kafka Vue Microfrontends Solution engineering
Problem
New customers spent weeks setting up their first communication assets. That onboarding step delayed time to value and jammed the Customer Success team. Every vertical wanted its own templates, and engineering had no capacity to hand-build them.
What I built
I designed a distributed templating engine: a typed template language, a versioned content registry, and a runtime that materialises templates per tenant. I owned it end to end as Product Owner: vision, epics, architecture, rollout. I co-owned launches (Seasonal Templates, Re-ignite Revenue, Lifecycle GTM) with Product and Sales so each shipped with instrumentation from day one.
What I learned
Build the platform other teams can build on. Setup time dropped 90%, and the engine now produces 15% of all assets created on a platform used by 10M+ frontline workers. A typed template language up front saved every team that came after me.