Umesh Linga

Data Scientist | Gen AI & LLM Engineer | Python · Azure OpenAI · RAG · NLP · AWS

Role
Data Scientist Gen Ai at U.S. Bank
Location
Indianapolis, IN, US
LinkedIn followers
500 followers

About Umesh Linga

Data Scientist with Gen AI expertise and 5+ years of experience delivering intelligent analytics solutions across banking and enterprise IT environments. At US Bank, I design scalable data pipelines using PySpark and SQL for high-volume financial datasets, and build RAG pipelines with vector databases (FAISS, Pinecone) for context-aware LLM-powered insights. I\'ve integrated Azure OpenAI and GPT-4 into production fraud detection and risk analytics systems, deployed on AWS/Azure with Kubernetes and CI/CD pipelines. Previously at DXC Technology, I built Python data applications for ETL, feature engineering, and anomaly detection, implemented ML pipelines with FastAPI/Flask, and developed real-time event-driven architectures using Kafka. Core technical stack: Python · SQL · Azure OpenAI · LangChain · LangGraph · LlamaIndex · RAG · FAISS · Pinecone · PySpark · Kafka · FastAPI · MLflow · Docker · Kubernetes · AWS · Azure · Scikit-learn · PyTorch · NLP

Experience

  1. Data Scientist Gen Ai

    U.S. Bank

    Jan 2024 — Present · Indianapolis, IN, US

    Designed scalable data pipelines with PySpark/SQL for high-volume financial datasets, integrating Gen AI (Azure OpenAI, GPT-4, LangChain) for fraud detection and risk analytics.Built RAG pipelines with vector databases (FAISS/Pinecone) for context-aware insights, automating document processing and summarization via LLMs.Developed real-time analytics microservices using FastAPI/Python with anomaly detection models and LLM evaluation metrics.Deployed Gen AI solutions on Azure/AWS with Kubernetes/CI-CD pipelines, optimizing inference latency through async processing and LLMOps practices.Implemented AI-powered anomaly detection to identify fraud patterns in large-scale banking data using hybrid search techniques.Integrated vector search with financial metadata, reducing response times via re-ranking models and optimized embeddings.

Education

  • Saveetha Engineering College

    Bachelor of Science, Biomathematics, Bioinformatics, and Computational Biology

  • Indiana University Indianapolis

    Master's Degree, Biomathematics, Bioinformatics, and Computational Biology

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Umesh Linga — Data Scientist Gen Ai at U.S. Bank in Indianapolis, IN, US | Unifers