Prince Canuma
6 Tools · 1 Intel
Prince Canuma is an ML research engineer who publishes as Blaizzy on GitHub, where he maintains MLX-VLM, a package for inference and fine-tuning of vision language models on Macs, and MLX-Audio, a text-to-speech, speech-to-text and speech-to-speech library built on Apple's MLX framework. Both packages list him as author on PyPI. His X profile lists earlier roles at Arcee AI and Neptune.ai.
Tools
Modular Swift SDK for audio processing with MLX on Apple Silicon, covering TTS, STT, and analysis on iOS and macOS.
Runs vision and language embedding models locally on Apple Silicon using MLX for fast on-device retrieval.
Swift bindings for espeak-ng that embed offline text-to-speech in iOS and macOS apps.
Intel
Blaizzy's hands-on series for building LLMs from scratch — code-first walkthroughs of architecture, training, and inference.