Projects
MishMash - Music on Spotify & YouTube

MishMash is an AI music project published on Spotify, YouTube, and all major streaming platforms through DistroKid. What makes it a technical project is the fully automated production pipeline built from scratch: from AI music generation to video rendering to multi-platform distribution.
- AI music generation pipeline: Using ACE-Step 1.5 with ComfyUI for generating full songs from lyrics and parameters
- Automated video rendering: Custom Remotion (React) projects that generate music videos from background images with synchronized lyrics, transitions, and Ken Burns effects
- Multi-format output: Album videos, single videos, and audiobook chapters all rendered through the same pipeline
- DistroKid integration: Waterfall release strategy with ISRC code management across platforms
- His Side album: 11 tracks, fully rendered and published on YouTube
- 6 standalone singles: Each with unique art style (watercolor, paper craft, charcoal, polaroid collage)
- 25 tropical house singles: Written with full ACE-Step parameters
- 100 additional tracks written for KRAEL (solo project) across 40+ genres
- Ember EP: 5-track lofi jazz EP (first letters spell XHULI)
- ACE-Step 1.5 (ComfyUI) for AI music generation
- Remotion (React/TypeScript) for automated video rendering
- Grok AI for visual asset generation
- DistroKid for music distribution
- Kokoro TTS for audiobook narration
This isn't just a music project. It's a demonstration of building automated creative pipelines: taking AI tools and stitching them together into a repeatable, scalable production system. The same engineering principles that apply to backend systems (pipelines, queues, batch processing) apply here.