Brandon Nye

Amazon's largest line of business told us our creative approval process was too slow and too hard to manage. Instead of pushing back, I took action — I built a two-phase approval system from scratch to streamline the process, sequencing static and animated reviews with business-hours-aware SLA tracking. This wasn't in my job description. I built it because every day a creative sat in approval limbo was a day of lost revenue from the flight. The system was rolled out company-wide and became a core part of the white-glove service that retains enterprise clients.

An enterprise-scale workflow required coordinating 12 data sources, 4 AI models, and 6 output systems with zero manual handoffs. I built an event-driven platform where 5 microservices and 4 specialized agents dispatch in parallel — research, content, outreach, and identification — completing full cycles in under 60 seconds.

A retail media agency managing 8 clients across 23 campaigns had no way to see both the executive summary and deal-level detail in one system. I built a dual-mode dashboard — executives see KPI tiles and conversion trends, operators drill through 7 hierarchical levels from agency to creative — with 9 composable chart components and real-time transaction feeds.

Real-time data from external APIs arrives with inconsistent entity names, unpredictable update frequencies, and no guaranteed schema. I built an autonomous pipeline that resolves entities via 3-pass fuzzy matching, syncs every 5 minutes via GitHub Actions, and ran for 6 weeks with zero manual intervention — 912 autonomous commits, 95% test coverage.