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@Mec-iS

Lorenzo

Mec-iS
UK

👋 About Me

Hi! I’m Lorenzo. I produce novel research and code leveraging LLMs. Ideas swift to prototype.

I like to escape stellar gravitational fields 🚀🚀🚀 at www.tuned.org.uk

As an Open Source enthusiast and systems architect, I work at the frontier of AI agent ecosystems, high-performance Rust and Python, and scalable protocol design.

My main focus at the moment is to develop the next generation of document indexing and memory for AI systems.

I work on system for safer AI Agents deployment and LLM-focused technologies in databases.

Please take a look at:

  • arrowspace: a paper and a repository for a graph-based approach to vector search
  • nanochat-rs: a porting in Rust of Nanochat, the super-efficient LLM model
  • optical-embeddings: A Rust implementation for DeepSeek-OCR text to image compression
  • smartcore: a Machine Learning library in Rust
  • bmpp-agents-rs: a framework for safe AI-coding agents
  • vibelang-rs: a Rust implementation of Meaning Typed Prompting, a protocol to represent prompting to human and LLMs

Please consider sponsoring me to improve your and your organisation's handle of LLMs.
All my work at -> https://www.tuned.org.uk/

2 sponsors have funded Mec-iS’s work.

@ceteri
@tudormunteanu

Featured work

  1. smartcorelib/smartcore

    A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.

    Rust 871
  2. Mec-iS/vibelang-rs

    Vibelang in Rust: agents with Meaning Typed Prompting (MTP)

    Rust 4
  3. Mec-iS/bmpp-agents-rs

    BMPP: a proposal for an annotated protocol for Web Agents interoperability

    Rust 3
  4. tuned-org-uk/nanogpt-rs

    A Rust+Burn implementation of Karpathy's nanoGPT

    Rust 15
  5. tuned-org-uk/pyarrowspace

    `arrowspace` for Python. A graph analysis and vector search library

    Python 6

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