Niyati Patil

Built a GenAI-powered search and decision system using LangChain, Hugging Face, FAISS, and PostgreSQL for unstructured data analysis. Engineered Sentence-BERT embeddings and semantic similarity scoring, improving precision and reducing false positives. Designed interpretable NLP pipelines enabling transparent decision-making aligned with compliance requirements. Integrated AI outputs with Salesforce CRM, enabling operational adoption.

Supported compliance-driven financial operations with strict accuracy, auditability, and regulatory timelines. Analyzed high-risk cases and resolved 18–22 escalations/month, reducing backlog by 41% through structured prioritization and root-cause analysis. Identified process risk patterns and led data-driven training initiatives, improving operational efficiency by 60%.

Developed innovative solutions that significantly improved team performance and outcomes. Provided guidance to colleagues, leading team discussions that reduced project bottlenecks and accelerated issue resolution by 30%. Supported risk-sensitive, compliance-driven financial operations under strict regulatory and audit standards. Analyzed high-risk cases, resolving 18–22 escalations per month and reducing backlog by 41% through data-driven prioritization.