Deliver highly reliable Computer Vision features by writing clean, modular, and optimized pipelines that achieve target accuracy metrics, minimize false positives/negatives, and meet the "Definition of Done."
Drive the squad’s technical growth through structured reviews of both software code and model architectures, ensuring all engineers are proficient in the "Universal Stack" and modern Computer Vision deployment frameworks.
Design modular Computer Vision processing pipelines that easily integrate across squads via robust API contracts, making it simple for the TRE team to monitor frame-ingestion, queuing, and model outputs.
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