Onwunyi Chisomebi

Designed adaptive learning algorithms and developed Python pipelines and platform workflows to generate, evaluate, and QA adaptive STEM content for educational tools.

Validated and annotated AI-generated science and engineering content, corrected reasoning steps, and collaborated with global teams to ensure QA standards and high-quality training datasets.

Evaluated and scored AI model outputs for accuracy, clarity, and domain alignment, conducting expert-level reviews and tutoring-style feedback across STEM subjects to improve model reasoning and consistency.

Applied modeling and simulation to optimize drilling efficiency and validated simulation outputs against engineering standards and field data, producing clear technical reports for decision-makers.

Reviewed AI responses for contextual accuracy, linguistic quality, and intent alignment, applying annotation guidelines to STEM queries and delivering feedback that improved model reliability.

Conducted energy performance analyses of building systems and prepared compliance-focused evaluation reports for engineering codes and standards.

Grade: 4.41/5.0

Completed a Bachelor of Engineering in Mechanical Engineering with coursework in applied mathematics, physics, statistics, programming, and data processing; thesis on carbon footprint of utility scale power plants in Nigeria.