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mlhher/README.md

Backend & AI Infrastructure Engineer. Focused on high-performance, low-latency execution and minimal OPEX.

Projects

  • Late: Local-first coding agent harness designed to maximize model intelligence and minimize costs and context windows. Achieves full team orchestration within 5GB VRAM.
  • Pure-Go-SGD: Zero-dependency AI inference and training engine written in pure Go. A bare-metal implementation of SGD and Adam using Gonum.

Open for work offers: contact@mlgpt.io

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  1. late-cli late-cli Public

    Orchestrate an entire AI dev team on 5GB VRAM. Ephemeral subagents, exact-match diffs. Single static binary, any model. Zero config, zero context bloat.

    Go 378 37

  2. pure-go-sgd pure-go-sgd Public

    A lightweight, bare-metal Go implementation of Stochastic Gradient Descent (SGD) and the Adam optimizer. Built from the ground up with exactly one dependency. Includes a pure-Go MNIST example.

    Go 1