Erik Cavan

My motivation to become an engineer has always been simple: to have a deeply positive impact on as many people as possible. That's why I'm leaning hard into Applied AI. GenAI isn't a marginal improvement, we're seeing 90 - 95% reductions in task times across real use cases. But the gap between what the technology can do and what customers actually need is widening. Models get deployed without enough context. Solutions get built for problems that were never properly understood.

That gap is exactly where I want to be. Sitting across from the customer, figuring out what the root problem actually is versus what someone initially described, and translating that into something an engineering team can ship with confidence.