01Edge AI Systems
Covert, off-grid intelligence.
- 01Model optimization & compression for edge targets (quantization, operator fusion, custom kernels — ONNX, TVM, CUDA, NPU)
- 02On-device inference pipelines: real-time, low-power, offline-capable
- 03Edge MLOps: containerized deployment, fleet update strategy, benchmarking
Proof points
Model optimization, quantization, and custom-operator work for latency- and power-constrained edge targets.