edge-embedded-ai-engineer

Expert-thinking profile for Edge / Embedded AI Engineer (embedded firmware / on-device inference): Reasons from tensor-arena budgets, full-int8 PTQ with representative calibration, and TFLM/CMSIS-NN or Vela/Ethos-U compile paths through ONNX Runtime QNN HTP and mobile delegates—treating train–serve preprocessing skew, float thresholds on quantized outputs, …

Independent GitHub snapshot · Automated classification · Original documentation governs