ML & AI Engineer (Intern), GenAI-based text summarization labeling and validation
Designed and implemented GenAI-powered text summarization workflows using large language models (LLMs) to convert analytical outputs into concise executive summaries. Developed and validated structured prompt templates and incorporated automated guardrails for output quality assurance. Collaborated closely with business stakeholders to ensure the relevance and reliability of LLM-generated texts. • Built LLM-based summarization pipelines for operational and analytical business data. • Implemented rigorous validation checks for prompt and model outputs. • Enhanced summarization reliability through prompt engineering and output guardrails. • Adapted and optimized workflows per evolving business analytics needs.