Professional Summary
Senior Data Engineer and GenAI Specialist with 6+ years of experience designing and deploying enterprise-scale data platforms, retrieval-augmented generation (RAG) systems, and agentic AI workflows across AWS, Azure, and GCP. Expertise in building production-grade LLM applications using LangChain, LangGraph, AutoGen, and vector databases (FAISS, Pinecone, PGVector), delivering measurable reductions in hallucination rates, latency, and operational costs. Strong background in scalable PySpark-based ETL/ELT architectures, lakehouse and warehouse design (Snowflake, Redshift, Databricks), and multi-cloud MLOps with Terraform, Docker, and CI/CD automation. Proven track record of optimizing performance (30–45% improvements), enabling secure AI deployments with RBAC, PII masking, and audit logging, and driving AI adoption through high-impact, production-ready solutions in healthcare, retail, supply chain, and insurance domains.
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