Sonica Studio

Role

Full Stack AI Engineer

Technical Highlights

• Architected a scalable asynchronous music generation pipeline with queue-based processing, job lifecycle management, retries, progress tracking, and failure recovery for long-running AI generation tasks
• Built the platform using Next.js, TypeScript, and Supabase, leveraging PostgreSQL, Authentication, Storage, Edge Functions, and Row-Level Security for a secure multi-user SaaS architecture
• Designed a production-ready backend architecture supporting concurrent music generation requests, real-time status updates, optimized database operations, and efficient resource utilization
• Integrated AI-powered music generation workflows capable of producing complete songs, instrumentals, vocals, lyrics, and multiple musical styles through configurable generation pipelines
• Developed a comprehensive project management system with generation history, versioning, favorites, search, filtering, and cloud-based asset management
• Implemented subscription, credit-based billing, secure authentication, and user quota management to support commercial-scale AI music generation services
• Optimized frontend performance with Next.js App Router, server components, streaming, caching, and real-time Supabase subscriptions to deliver a responsive user experience

Impact

Empowered musicians, creators, content producers, and businesses to transform ideas into professional-quality music within minutes, dramatically accelerating creative workflows while making high-quality music production more accessible.