ML, Art, and Architecture I treat Swift — on the device and on the server — as the medium for machine learning and creative solutions.
For years I worked in computer vision as an applied engineer alongside researchers: porting their models efficiently onto edge devices and shaping the inputs and outputs they trained against to hit competitive benchmarks. On paper my career has been iOS / iPadOS / macOS engineering — in practice my work has always lived where creative engineering meets ML systems.
RaoLM/Braid work is done in parallel as findings from Ambient, Veil, and Craft converge over time.
- MaryOS
- Linux design research (https://github.com/rao-studios/MaryUI)
- Device distribution research (https://github.com/rao-studios/MaryUI)
- The actual MaryOS repo will be available in the future, hosting all of the C ports that make A/V/C possible
Safety, security, and stability in 1 product.
Licenses for most projects will relax from GPL 3.0 over time.
Provisional patents for GPL projects are only for domestic U.S. filings. EU... take what you need my friends.
Personal site: https://paka.la
Quick share: https://paka.la/share
Email: [email protected]


