At Virtual Technology, I engineer enterprise Generative AI applications with Python, FastAPI, LangGraph, Azure OpenAI, and Amazon Bedrock. I also implement full-stack applications, connecting REST APIs, database models, and frontend experiences.
I designed end-to-end RAG pipelines that cover document ingestion, chunking, metadata enrichment, embeddings, vector indexing, hybrid retrieval, and grounded responses. I also orchestrated multi-agent workflows with routing, tool calling, structured outputs, and guardrails.
On my Intelligent Banking Fraud Investigation & Risk Operations Platform project, I developed multi-agent workflows for fraud investigation, transaction analysis, customer risk assessment, and AML/KYC validation. I integrated Amazon Bedrock Knowledge Bases and OpenSearch Serverless for grounded responses, with FastAPI and DynamoDB supporting data access and case workflows.
Previously, as a Data Engineer Intern at Sriyathitha - India, I built Python and SQL pipelines for extraction, transformation, validation, and analytics preparation. I also built a Healthcare Policy & Claims RAG Assistant using Azure OpenAI, LangChain, Azure Blob Storage, and Azure AI Search.
