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 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.
Personal site: https://paka.la
Quick share: https://paka.la/share
Email: rpakala@me.com