Cognitive Architecture Inventor
The project focused on developing a NeuroAI-driven system for modelling and classifying cognitive and behavioral patterns within structured and unstructured data. My role involved contributing to the pipeline to support training and evaluation of machine learning models aligned with human-like reasoning patterns. I performed detailed annotation of conversational and behavioral datasets, labeling for attributes such as intent, classifiction, emotional tone, cognitive bias indicators and coherence patterns. This included identifying nuanced psychological signals and aligning annotations with predefined taxonomies and labeling frameworks. The project involved annotating several thousand data points over a multi-week period, working both independently and in coordination with a broader annotation and quality review team.