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tosinamuda/README.md

Tósìn 👋

Engineer/Architect experimenting with new technologies as I learn.

Currently excited about AI and how it can improve education access, personalization, quality, and broader social impact.


Current projects

  • Compose: a local-first, AI-native markdown editor for macOS that turns your documents into a live workspace for AI agents. Use tools like Claude Code or Codex directly inside the editor to read, edit, and iterate on content in place, without copy-pasting or context switching.
  • agent-harness: a Rust library for building and orchestrating local AI agents through a single streaming API. It unifies Claude Code, Codex, ACP-compatible agents, and OpenAI-style endpoints like Ollama or OpenRouter, so you can drive complex agent workflows without stitching together multiple integrations.

Portfolio  LinkedIn

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  1. llama-finetuning-dspy llama-finetuning-dspy Public

    DSPy GEPA synthetic data generation for instruction tuning Llama 3 on consulting one-pager and executive slide tasks. Outputs JSONL for AWS SageMaker. Uses uv. Works with watsonx, OpenAI, or OpenRo…

    Python 5

  2. graspy-ai graspy-ai Public

    graspy is an AI tutor for kid everywhere to learn in the language they best understand

    TypeScript 1

  3. baguettotron baguettotron Public

    Local AI chat interface for Baguettotron, Monad, and other Qwen-based models. Runs on your CPU using Hugging Face Transformers - complete privacy, no API keys. Not affiliated with Pleias AI.

    TypeScript 1

  4. getlatentic/agent-harness getlatentic/agent-harness Public

    Use existing agent CLIs (Claude Code, Codex, bob) programmatically from Rust — one Harness trait, one normalized event stream. Includes an unofficial bob SDK (bob-rs) + a generic subprocess engine …

    Rust

  5. getlatentic/compose getlatentic/compose Public

    Compose — a local-first AI writing workspace for macOS (alpha).

    TypeScript

  6. rlm-playground rlm-playground Public

    A full stack playground to explore RLM with the longbench dataset and view the RLM trajectory from an interface

    Python 3