Project deep dive
Implementation details, architecture trade-offs, and outcomes from this engagement.
Audiowolf – AI-Powered Advertising Music Intelligence
Audiowolf is an AI-driven insights platform that tracks how music appears across advertising campaigns, surfacing brand-level trends and strategic opportunities.
Key Features
- Music Trend Analysis — Analyze evolving soundtrack choices across ad industries and regions
- Data-Driven Insights — Leverage AI analytics to inform creative, licensing, and campaign strategy
- Brand Monitoring — Track how specific brands deploy music to spot patterns and white space
Technology Stack
Audiowolf runs on a modern, insight-focused stack:
- Angular — Dynamic SPA foundation for fast, responsive exploration
- TypeScript — Type-safe tooling that keeps complex data flows dependable
- Ant Design (Antd) — Cohesive UI components for consistent user experiences
- Tailwind CSS — Utility-first styling for rapid product iteration
- Charts & Maps — Rich visualizations translating data into actionable narratives
My Responsibilities
- Feature Implementation — Delivered UI/UX-driven enhancements that expanded analytic depth
- Bug Resolution — Diagnosed and fixed issues to maintain stability and performance
Why Audiowolf Stands Out
✓ AI-Driven Analysis — Machine intelligence that reveals emerging sonic trends
✓ Comprehensive Data Tools — Advanced analytics that power faster, smarter decisions
✓ User-Centric Design — Intuitive workflows tailored for creative and marketing teams









