• Worked in a team of data scientists and delved into natural language processing, computer vision and MLOps tasks for document scanning of food safety certificates and audit reports.• Programmed in Python and trained Transformer models like LayoutLMV models for image and token classification of certificates and audit reports.• Developed a real-time model monitoring system for deployed AI models. • Drafted a ML tech stack from data processing to model deployment.

• Worked in a team of three software developers for computer vision and related programming tasks, where I focused on the data pre-processing and machine learning aspects of the project.• Created a three-dimensional shape generator to output around 5000 images of training, validation, and testing data and designed Xception and ResNet50V2 models to identify three-dimensional shapes.