ai / machine learning-engineer

    Model Quantization: ONNX

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    Initialize Transmission

    4K Cinematic Stream Ready

    Mission Intelligence

    Optimize models for edge inference with ONNX.

    Operational Objectives

    • 01Apply INT8 quantization.
    • 02Export PyTorch to ONNX.
    • 03Benchmark inference latency.
    • 04Validate model accuracy.
    • 05Deploy to ONNX Runtime.
    Secure Workstation Instance
    SYSTEM BOOT: SUCCESSFUL
    ENCRYPTION: AES-256-GCM ACTIVE
    USER: root@iset-sandbox
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