AI Systems Architect & Data Logic Engineer — Independent / OpenTrain AI Ecosystem (2024–Present)
Conducted high-accuracy data labeling and annotation in AI training environments to ensure consistency and alignment with model requirements. Engineered dataset metadata and structural redesigns to improve comprehension and reduce ambiguity and bias. Designed linguistic logic mechanisms to detect flawed logic patterns and structural inconsistencies in training data. • Labeled and annotated training data for consistency and clarity. • Redesigned dataset metadata to address structural weaknesses. • Developed the Wordplay Protocol to detect bias and ambiguity. • Audited datasets for logical fallacies to improve training outcomes.