DE architecting, designing, and building Retrieval Augmented Generation (RAG) techniques with vector databases to enhance the capabilities of generative AI and LLMs; designing and creating end-to-end applications for document classification and intelligent data extraction using LLMs and fine-tuned ML models; designing and implementing evaluation frameworks with quality metrics, ground truth annotation workflows in Label Studio, and interactive data visualization dashboards in Tableau, including Sankey charts, to support model performance analysis and continuous improvement; and developing API frameworks to support real time and near real time ingestion of customer interaction data from multiple channels, with integration into managed streaming and delivery services (Kinesis Streams and Firehose). DE creating and maintaining modularized pipeline framework for establishing Continuous Integration/Continuous Delivery (CI/CD) pipelines for applications using Docker, Jenkins, Artifactory, SonarQube and GitHub; developing Unix shell scripts and creating CLI utilities to automate end-to-end processes, including testing, deployment and validation across development and production environments; performing platform migration by transitioning on-premises systems to AWS cloud infrastructure; and ensuring the full potential of cloud-based environments and modern data warehousing technologies (Star Schema or Snowflake Schema) using End-to-End (E2E) migration planning, execution, and optimization.