Anupama Garani leads GenAI initiatives at PIMCO, where she designs evaluation frameworks, requirement systems, and deployment strategies for Retrieval-Augmented Generation (RAG) across enterprise workflows. Her work focuses on making AI systems more reliable and aligned with real business needs, especially in compliance-sensitive domains.
As part of a Microsoft-featured AI initiative, Anupama led the core research and development of algorithms, focusing on LLM-based query routing strategies, accuracy enhancements through advanced NLP techniques and prompt engineering, and AI-driven workflow optimization inspired by cutting-edge research. She previously led data quality strategy for PIMCO’s Client Data Intelligence team and has built automation pipelines for anomaly detection, metadata validation, and reporting accuracy.
Previously at Goldman Sachs, Anupama led analytics and automation projects across predictive modeling, reporting pipelines, and business intelligence systems.
She serves on the Steering Committee for the Toronto Machine Learning Summit (TMLS), is a Women in Data Science (WiDS) Ambassador, and contributes actively to the AI community through mentorship, judging, technical writing, and as a technical speaker on GenAI deployment and strategy. Her work focuses on translating AI complexity into scalable, accurate and responsible systems that drive measurable impact.
