Prince Canuma
Founder at FastMLX (Acquired by Arcee.ai)
Lower Silesian Voivodeship, Poland
Summary
🤩
Rockstar🎓
Top SchoolPrince Canuma is a founder and ML-focused engineer with nine years of experience building products that blend design, web engineering, and applied AI from concept to production. He founded FastMLX (acquired by Arcee.ai) and served as an ML Research Engineer, bringing hands-on expertise in MLOps, LLMs, VLMs and Audio LMs while expanding model support across major frameworks on GitHub. His background in arts and design informs a strong UX sensibility, enabling him to create interactive demos and technical content that resonate with users and stakeholders. Previously at neptune.ai he combined data science and developer relations to help teams operationalize ML workflows, and earlier roles span entrepreneurship and web development in diverse environments. He holds advanced study in Big Data Analytics and deep learning, and is notable for pragmatic contributions that added support for many cutting-edge models (e.g., Mistral, Phi, Cohere) to MLX examples. Curious and creative, he thrives in spaces that let him iterate on bold ideas and quickly validate them with working prototypes.
9 years of coding experience
8 years of employment as a software developer
Master's degree, Big Data Analytics, Master's degree, Big Data Analytics at Wrocław University of Science and TechnologyBachelor of Technology - BTech, Compute Science and Engineering, Bachelor of Technology - BTech, Compute Science and Engineering at PARUL INSTITUTE OF ENGG. AND TECH., LIMDA, VAGHODIA 037Deep Learning , Artificial Intelligence, Deep Learning , Artificial Intelligence at UdacityDiploma, Information Technology, Diploma, Information Technology at Instituto de Transportes e Comunicação
Stackoverflow
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Github Skills (10)
model-building10
machine-learning10
python10
modeling10
model-driven10
model-driven-development10
natural-language-processing9
nlp9
pytorch8
attention-mechanism7
Programming languages (5)
Github contributions (5)
ml-explore/mlx-examples
Mar 2024 - Mar 2025
Examples in the MLX framework
Role in this project:
ML Engineer
ML EngineerContributions:39 reviews, 22 PRs, 216 comments in 1 year
Contributions summary:Prince primarily focused on modifying and extending the MLX framework within the repository. Their contributions involved updating configuration parameters, optimizing existing model architectures, and adding support for new models such as Cohere's Command-R, Qwen2MoE, Phi-3, OpenELM, IBM Granite, Phi-3 Medium, InternLM-2.5, Mistral NeMo, Phi-3.5-MoE, Gemma3, and Cohere2. The user's work directly impacted the repository's capabilities by expanding its model support and refining existing implementations.
mlx
Blaizzy/mlx-embeddings
Aug 2024 - Apr 2025
MLX-Embeddings is the best package for running Vision and Language Embedding models locally on your Mac using MLX.
Contributions:5 releases, 4 reviews, 16 PRs in 7 months
chatbotembeddingsllmsragretrieval-augmented-generation
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