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    Over the next year I’ll be running a series of computer-vision initiatives that require solid, production-ready Python code. The work spans the full pipeline: cleaning and augmenting large-scale image datasets, architecting and training deep networks, then stress-testing their performance before deployment. Knowledge in quantum computing is an added advantage You’ll dive into convolutional and recurrent architectures for vision tasks—think hybrid CNN-RNN pipelines for sequence labelling—as well as exploratory projects where a GAN may generate synthetic images for data balancing and style transfer. Everything is image-based, so familiarity with libraries such as OpenCV for preprocessing and TensorFlow or PyTorch for model building is essential. What I need from you...

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