OCR Fine-Tuning for Low-Quality Number Plate Recognition
Achieved a 50% increase in OCR accuracy for low-quality number plates
Usama N. is a highly skilled Machine Learning Engineer, Data Annotation Manager, and Computer Vision Specialist with over four years of diverse experience across end-to-end machine learning lifecycle, model development and fine-tuning, computer vision, data annotation, quality assurance, workflow optimization, process automation, data preprocessing and analysis, generative AI technologies, MLOps, and cross-functional team leadership. He brings advanced programming proficiency in Python, JavaScript, and C++, and is adept…
Achieved a 50% increase in OCR accuracy for low-quality number plates
Designed and implemented data annotation pipelines using CVAT
Managed end-to-end data preparation and annotation processes
Orchestrated the end-to-end data preparation for fine-tuning Florence models, curating and annotating image datasets; boosted model accuracy by 20% and boosted data delivery efficiency by 30%.

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Usama N. is a highly skilled Machine Learning Engineer, Data Annotation Manager, and Computer Vision Specialist with over four years of diverse experience across end-to-end machine learning lifecycle, model development and fine-tuning, computer vision, data annotation, quality assurance, workflow optimization, process automation, data preprocessing and analysis, generative AI technologies, MLOps, and cross-functional team leadership. He brings advanced programming proficiency in Python, JavaScript, and C++, and is adept…
Achieved a 50% increase in OCR accuracy for low-quality number plates
Designed and implemented data annotation pipelines using CVAT
Managed end-to-end data preparation and annotation processes
Orchestrated the end-to-end data preparation for fine-tuning Florence models, curating and annotating image datasets; boosted model accuracy by 20% and boosted data delivery efficiency by 30%.
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