Advanced AI Model Trainer, Invisible Technologies
I evaluated and optimized large language model outputs using RLHF, ranking, scoring, and structured feedback mechanisms. I executed prompt engineering, response validation, and edge case identification to maintain dataset quality and model alignment. I contributed to large-scale AI training pipelines by generating and validating high-quality labeled data in diverse domains. • Led Cosmo Prompt Collection V2 for prompt creation and dataset expansion. • Performed error analysis and response correction in Individual Errata Review (RLHF). • Conducted video analysis and Q&A generation for Shell NGM. • Executed image annotation and bounding box labeling in Microsoft Hawkeye.