Thys Meintjes is a Computer Vision Engineer and systems integrator with over two decades of software architecture and development experience across weather, aviation, defence, healthcare and mining. He combines an electronic engineering background with deep Python, Linux and containerization expertise to design full-stack solutions from low-level drivers to human-machine interfaces and real-time sensor fusion. At BHP he builds and deploys production computer vision models and modular IIoT safety systems that fuse video and multi-sensor streams to drive context-aware alerts and automated operator warnings. Experienced in DevOps and cloud-native deployments on AWS and OpenStack, he has shepherded projects through the entire SDLC and run on-premise and cloud infrastructures. Notably, he pairs hands-on ML deployment (TPU/CUDA) with pragmatic industrial systems thinking, making him equally comfortable tuning inference pipelines as designing resilient telemetry aggregation. Based in Western Australia, he brings a systems-first mindset to problems where safety, latency and operational reliability matter most.
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