AI Integration & Data Pipeline Architect for Legal AI Engine
I designed, built, and deployed an AI-powered legal drafting engine using LLM APIs to analyze legal clauses and generate documents. I constructed data pipelines to extract, validate, and normalize structured legal document datasets for AI training and evaluation. I applied prompt engineering and LLM chaining to automate and optimize legal text workflows for accurate, high-quality output. • Conducted end-to-end data preparation for legal document datasets, ensuring structured output in consistent formats. • Engineered prompt + response workflow for clause analysis and summarization using LLMs. • Evaluated and refined model behavior through hands-on legal clause annotation and summary verification. • Built a proprietary tool within a Streamlit application, integrating AI analysis for legal text annotation.