Stories that
Inspire Action.

CDPL’s mentor cadence and projects sharpened my testing mindset. We didn’t just learn theory, we ran focused exploratory sessions with charters, mapped risks, and compared coverage heuristics. I built API and UI suites that ran on CI for every PR, learned to tame flakiness with better waits/selectors, and used traces to debug fast.

Practical playbooks and live dashboards meant I could launch, read signals, and iterate fast in my new role.

The product-first approach to ML made evaluation and deployment feel natural. We practiced with structured reviews, shipped capstones, and wrote docs like in a real team. I came out with a portfolio piece, confident interviews, and habits I still use daily.

From SQL to stakeholder storytelling, the reps made interviews feel like a recap of class work.

Real-world bug bashes and CI integrations helped me ship with quality. We practiced with structured reviews, shipped capstones, and wrote docs like in a real team. I came out with a portfolio piece, confident interviews, and habits I still use daily.

Strategy plus systems thinking: we built calendars, briefs, and reporting that finally scaled.

Modeled real pipelines, added tests, and delivered clear dashboards, day-1 impact at work.

We stabilized flaky suites and added trace-based debugging that saved hours each week. We practiced with structured reviews, shipped capstones, and wrote docs like in a real team. I came out with a portfolio piece, confident interviews, and habits I still use daily.