Before Parallel, I spent several years as an engineer at an A/B testing startup, working on large customer codebases for major companies and Fortune 100 organizations.

That meant shipping production code into environments used by millions of people, running controlled experiments, and measuring what actually changed.

It taught me to approach technical problems the same way every time: form a hypothesis, test boldly, measure what happens, and keep what works.

That experimental mindset still drives how I approach everything I build today.