At Microsoft, I lead AI/data system design for enterprise generative AI, LLM, and NLP applications, spanning ingestion, retrieval, evaluation, APIs, infrastructure, and production operations. I architected a multi-tenant RAG platform and improved grounded-answer pass rates from 78% to 91% while reducing hallucination incidents by 40%.
I’ve built cloud-native data pipelines and applied AI solutions across Microsoft, CDI, and Infosys, from Azure Databricks and Snowflake workflows to device telemetry, computer vision, and financial batch-processing systems. I focus on reliable delivery, data quality, observability, and scalable production deployment.
