Head Of Ai Data Modelling
CurrentDeveloping and implement training programs for advanced Computer Vision models, specialising in safety, risk management and wellbeing of users, workers and assets in safety-critical environments.Applying instructional design principles to create effective and engaging training materials for AI model development by utilising my expertise in pedagogy and instructional strategies to tailor training approaches that optimise learning outcomes for both developers and end-users.Collaborating with cross-functional internal and client teams to identify and address model training challenges, resulting in improved accuracy and performance.My experience as a teacher of young students in the early years brings several valuable skills and perspectives to training deep learning models:Patience and Adaptability: Every learner is unique and may require different approaches to grasp concepts effectively. I apply this mindset to training Deep Learning models, where challenges or variations in data are manifest. My ability to adapt and iterate training strategies helps improve model performance.Pedagogical Expertise: As an early years teacher, I have a deep understanding of pedagogical principles and instructional strategies. I break down complex concepts into manageable parts and design engaging activities to facilitate learning. This knowledge is applied to developing training programs and materials for AI Deep Learning models, making the training process more effective and accessible.Data Annotation and Curation: In early childhood education, it is critical to assess and evaluate student progress. This experience is valuable in the context of Deep Learning, where data annotation and curation are crucial for training accurate models.My understanding of pedagogy, adaptability, communication skills, and data annotation expertise contributes to more effective training strategies, improved model performance, and the ethical development of AI systems.
