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FS Development
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FS Development
17 followers · 81 following
  • United States

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Neurologist/README.md

Neurologist

gradient descent, from ring 0.

I work on the whole stack between the PCIe bus and the attention head.

X Location Focus


$ cat /proc/neurologist
name        : Neurologist
role        : AI/ML engineer · systems programmer · VFX 
arch        : x86_64 + CUDA + whatever the problem requires
location    : Los Angeles, CA
languages   : Python, C++, Rust, TypeScript, CUDA C
philosophy  : if it's slow, profile it. if it's magic, disassemble it.
uptime      : shipping since the GTX 900 series

/proc/self/maps — where the work lives

ADDRESS RANGE        PERM   REGION
──────────────────────────────────────────────────────────────────────
0x0000_llm_engines   r-x    LLM inference — vLLM, llama.cpp, KV-cache
                            tricks, speculative decoding, quantization
0x0001_diffusion     r-x    SDXL / Flux pipelines, ComfyUI graph
                            surgery, LoRA training, VFX integration
0x0002_agents        rwx    multi-agent orchestration — AutoGen,
                            LangChain, tool-use protocols, evals
0x0003_dma_systems   r--    direct memory access, PCIe, memory-mapped
                            I/O, depth-buffer extraction, kbd/HID
0x0004_edge          r-x    models on hostile hardware — Pi 5, Jetson,
                            anything with a heatsink and a dream
[heap]               rw-    grows toward whatever's interesting
[stack]              rw-    C++ ↔ Python ↔ Rust, in that order

Selected work
Hush-Rivals-DMA DMA-based hardware input pipeline — reading and injecting HID state over PCIe, zero software footprint on the target
dma-depth-buffer GPU depth-buffer extraction via direct memory access — real-time scene reconstruction without touching the render pipeline
neural-inference-bench Reproducible LLM inference benchmarking — tokens/sec, TTFT, and memory curves across vLLM, llama.cpp, and TensorRT-LLM
diffusion-pipeline-utils Production utilities for Stable Diffusion / ComfyUI — latent-space tooling, batch schedulers, VRAM-aware pipeline planning
Licensing Self-hosted license API + client SDK — HWID binding, offline grace periods, tamper detection

Toolchain

python   cpp   rust   pytorch   typescript   docker   linux   node   aws



PyTorch CUDA HuggingFace vLLM TensorRT ONNX ComfyUI LangChain WireGuard FPGA


Signal


opinions held strongly, benchmarked weakly-supervised.
the best abstraction is the one you can still read a hexdump through.

building things that think — and knowing exactly which registers they think in · LA

Pinned Loading

  1. diffusion-pipeline-utils diffusion-pipeline-utils Public

    Production utilities for Stable Diffusion / ComfyUI — VRAM-aware batch planning, latent-space helpers, workflow graph surgery

    Python

  2. neural-inference-bench neural-inference-bench Public

    Reproducible LLM inference benchmarking — TTFT, tokens/sec, and VRAM high-water marks across vLLM, llama.cpp, and TensorRT-LLM

    Python

  3. transformers transformers Public

    Forked from huggingface/transformers

    🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

    Python

  4. vllm vllm Public

    Forked from vllm-project/vllm

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Python

  5. whisper whisper Public

    Forked from openai/whisper

    Robust Speech Recognition via Large-Scale Weak Supervision

    Python