Stacia Rimta

At Seeing Machines, I train and optimize deep learning models for driver monitoring, balancing accuracy, latency, and model size for embedded automotive environments.

I adapt and deploy ML models across NPU architectures, and use Python and C++ data analysis and algorithms to improve system robustness and decision-making.

Previously, I developed embedded software for camera-based driver monitoring systems, profiling algorithms on ARM targets and using NPUs and DSPs to improve real-time AI performance. I also collaborated with machine learning engineers and algorithm scientists to test and refine hardware deployments.

I've built IoT and monitoring solutions across agriculture, gas distribution, mining, and port operations—from automated hydroponic dosing and online CNG monitoring to road-grade detection and wind monitoring systems.