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README.md

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-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 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)