Python engineer at a dual-use RF-intelligence startup who turns ML models into production software: building inference pipelines, AI agents, and REST APIs that run on embedded Linux devices with tight CPU/memory constraints. Core stack: Python, FastAPI/Flask, ML runtimes (PyTorch, ONNX, TensorRT), Linux, Docker.
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