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| title: README | |
| emoji: 🧠 | |
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| # Joshua — AI/ML engineering × VFX | |
| Los Angeles. I work at the intersection of machine learning systems and visual effects: | |
| local LLM inference, diffusion-based image pipelines, and the systems programming that | |
| makes both run fast on real hardware. | |
| ## What I work with | |
| - **ML runtime:** PyTorch, CUDA, vLLM, Hugging Face `transformers`, Whisper, CLIP | |
| - **Diffusion / imaging:** Stable Diffusion XL pipelines for VFX and concept work | |
| - **Systems:** C++, Rust, Python automation; multi-machine homelab (WireGuard mesh | |
| spanning a 9950X hub, i9-14900K compute node, and edge devices) for self-hosted | |
| inference and transcription workloads | |
| ## Currently exploring | |
| - Serving small instruction-tuned models (Phi-3, SmolLM2) on consumer GPUs | |
| - Embedding pipelines with sentence-transformers for search and retrieval | |
| - Automated media workflows: speech-to-text, tagging, and asset processing | |
| ## Elsewhere | |
| - GitHub: [github.com/Neurologist](https://github.com/Neurologist) | |
| - X: [@CryptCanvasArt](https://x.com/CryptCanvasArt) | |