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ryouol/README.md

EE @ UWaterloo. I build LLM systems, mostly into post-training and inference engineering right now.

  • Unrender: post-trained Qwen3-VL with LoRA for chart extraction, load-tested vLLM serving on H100
  • Loupe: profiling MLX / llama.cpp inference on Apple Silicon

Prev: Tesla (2x), Squint.ai (2x), Aditum Bio(Biotech VC)

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  1. rushes rushes Public

    AI-powered footage organization: ingest video, browse categories, search timestamped evidence, and export selects.

    Python

  2. Unrender Unrender Public

    Review-first chart extraction: upload images or PDFs, correct data, approve, and export CSV, JSON, or XLSX with an audit trail.

    Python

  3. wayline wayline Public

    Wayline — private video-to-3D workspace. Render + Modal research preview; reviewer guide and launch status in the application branch.

    Python

  4. Loupe Loupe Public

    Native macOS profiler for local AI inference on Apple Silicon — correlates system telemetry with runtime inference events on one timeline.

    Swift

  5. wla-distibutor wla-distibutor Public

    Weighted Log Analyzer

    Go

  6. gRPCNvidia-Work gRPCNvidia-Work Public

    gRPC server for NVIDIA XAIVER AGX

    C++