Lead AI Engineer – Multi-Agent Video Summarization Project
Led the implementation of advanced text summarization workflows utilizing AI and LLMs for structured summarization outputs. Oversaw the design and development of multi-agent systems that automate the extraction, cleaning, and summarization of video transcripts. Ensured data labeling quality and accuracy through iterative agent evaluation and output validation. • Automated the summarization of YouTube video transcripts into structured PDF formats. • Coordinated transcript extraction, data cleaning, and summarization agents. • Implemented LLM-based quality evaluations for output consistency. • Oversaw real-world deployment and maintained ongoing data annotation workflow.