I've delivered AWS data engineering and Generative AI solutions for Deloitte USI clients across biopharmaceutical R&D, technology, government, and gaming.
For Gilead, I architected and owned an AWS ETL platform processing 50M rows per batch. I created configuration-driven Apache Airflow DAGs that reduced manual intervention by 90%, designed star-schema data models, and optimized denormalized tables to improve query times by 50%.
For Meta, I delivered a GenAI chatbot platform across five government organizations using Llama 3.2 and Llama Vision. I designed a serverless AWS architecture with Lambda, Bedrock, OpenSearch, S3, and API Gateway, reducing infrastructure costs by 30% and improving deployment speed by 40%.
I've also built Q&A systems combining Snowflake data and PDF documents, Neo4j knowledge graphs for semantic search, and RAG evaluation workflows. Earlier at Tata Consultancy Services, I developed AWS Python solutions for ADAS applications and automated GAP analysis to reduce analysis time by 70%.
