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Software engineer at the National Research Council Canada building computer vision and machine learning systems for automated crop image analysis. Day to day: writing production-quality CV/ML code, mentoring teammates, and integrating generative AI and data management practices to improve crop resilience and productivity.
A computer-vision/ML engineer at Canada's National Research Council (Saskatoon, full-time on-site) designs, develops, and ships production-quality image-analysis software that automates analysis of crop root and shoot images, using Python, C++, OpenCV, and deep learning frameworks like PyTorch/TensorFlow, while mentoring junior staff and students.
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