Multimodal AI Analyst
As a Multimodal AI Analyst at Mindrift AI, I contributed to building and improving AI systems through multimodal data analysis. I collected and preprocessed structured and unstructured data, implementing deep learning and machine learning models on image and video datasets. My work focused on detecting correlations, trends, and anomalies across diverse data modalities for AI training and evaluation. • Utilized transformers and convolutional neural networks for image and video analysis • Processed and integrated datasets for AI model training • Detected correlations and anomalies in multimodal data • Presented insights to stakeholders for strategic AI decisions.