As a Backend and AI Engineer, I built and scaled an AI-powered platform that automates the end-to-end generation and optimization of complex commercial agreements for a global professional services firm. I designed high-throughput distributed systems that intelligently combine large language models with structured legal reasoning, achieving dramatic improvements in output accuracy, jurisdictional compliance, and contextual relevance. I led prompt engineering initiatives that established multi-stage decision frameworks and dynamic context windows, while creating robust testing, validation, and monitoring infrastructure that ensured consistent performance across rapid model iterations and production deployments. My work directly accelerated document workflows for high-value transactions and set new internal standards for reliability in AI-driven legal automation.