Summary
Sai Raghavendra is a data-driven problem solver with nine years of experience building production-ready ML systems, data lakes, and analytics platforms across finance, nonprofits, and consultancy. He has led end-to-end projects—centralizing 100M+ financial records on Azure, automating unstructured document tagging with LangChain/OpenAI, and deploying fraud detection that saved clients hundreds of thousands of dollars. Comfortable at the intersection of strategy and execution, he pairs AI governance and compliance automation with pragmatic dashboarding to turn insights into decisions. Sai thrives where consulting meets startups: structured enough to design robust systems, scrappy enough to deliver fast iterations. He’s equally at home translating C-level questions into analytics as he is implementing the pipelines and ML that answer them. Based in Boston, he brings a storyteller’s mindset to data, focusing on impact and ethical AI practices that anticipate regulatory needs.
8 years of coding experience