Music Lab

My music work combines emotional songwriting, AI-assisted composition, and digital distribution workflows. I create original tracks that function both as standalone music and as part of broader multimedia concepts (video, visual identity, storytelling).
I work with AI-supported music creation tools to explore melodies, harmonies, and rhythmic structures, which are then refined through structured audio workflows. AI helps me generate variations and ideas efficiently, while all creative direction, emotional tone, and final decisions remain human-led.
Tools & technologies I work with:
AI music generation tools (composition, structure, remix concepts)
Adobe Audition: basic mixing, mastering, sound cleanup
Kaiber – AI music video creation & looping visuals
Runway ML – video enhancement & music-video alignment
Canva Pro – album covers, visual branding for releases
Pika Labs: short-form animated music visuals
Distribution platforms (via aggregators) for multi-platform release
My workflow typically includes:
concept & mood definition
AI-assisted composition and variation
audio structuring, basic mixing & mastering
visual alignment (music + image/video)
multi-platform publishing and evaluation
Music is not treated as an isolated product, but as part of a connected creative ecosystem involving branding, visuals, and storytelling.

 
Distribution & platforms
My music is published and tested across major streaming and social platforms, including:
YouTube
Spotify
Apple Music
Amazon Music
Deezer
iHeartRadio
TikTok
Instagram
Tidal
Pandora
Napster
Boomplay
Claro Música
Joox
These platforms currently serve:
portfolio building
practical learning experience
audience testing
release workflow optimization
content-to-platform adaptation
Published music projects (portfolio development)
I have already released multiple original tracks under two creative identities, which currently serve as practical learning output, portfolio development, and workflow experimentation.