Dancan Wanyonyi

Trained LLMs by ranking outputs, evaluating reasoning quality for RLHF pipelines, and creating prompt datasets that improved conversational and domain-specific model performance; maintained labeling accuracy above 98%.

Annotated autonomous driving datasets including bounding boxes, segmentation, tracking and LiDAR point clouds; improved annotation throughput by 25% and reduced mislabeling errors by 30%.

Completed a Bachelor of Arts in Geography and Environmental Studies focusing on spatial analysis and environmental systems.