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NagaSamhith Patibandla

@nagasamhithpatibandl

AI / Machine Learning Engineer at JPMorgan Chase developing RAG solutions that answer employee questions from internal documents.

United States

Message

At JPMorgan Chase, I develop LLM solutions with prompt engineering and RAG to answer employee questions from internal documents. I prepare document collections for modeling and deploy models and services as part of MLOps practice.

At CVS Health, I analyzed healthcare pharmacy claims and built anomaly detection and forecasting models. I also developed RAG agents that answer engineering support questions from internal knowledge sources.

In my open-source Scalable Embedding Service, I improved throughput 3.15× with dynamic request batching and sustained 409 RPS at p99 under 470 ms. I also added backpressure and autoscaling to keep the service stable under saturation.

Experience

Work history, roles, and key accomplishments

Current

AI / Machine Learning Engineer

Current

JPMorgan Chase

Jul 2026 - Present (4 months)

Develops LLM solutions with prompt engineering and RAG to answer employee questions from internal documents. Prepares and analyzes large document collections with Python, SQL, and Airflow, and deploys models with Docker, Kubernetes, Git, and CI/CD.

Python SQL Airflow Docker Kubernetes Git CI CD LLM Prompt Engineering RAG MLOps

Machine Learning Engineer

CVS Health

Sep 2025 - Jul 2026 (10 months)

Analyzed and validated healthcare pharmacy claims data to support research and business decisions. Built anomaly detection and forecasting models with gradient boosting (XGBoost) and deep learning (PyTorch), and deployed models through FastAPI and SageMaker with MLflow and Airflow pipelines.

Python SQL XGBoost PyTorch fastAPI Sagemaker MLFlow Airflow LLM RAG Anomaly Detection Forecasting

Data Scientist

Motilal Oswal Home Finance

Mar 2023 - Aug 2024 (1 year 5 months)

Applied statistical techniques and machine learning to credit risk and customer segmentation. Wrote complex SQL queries over Hive and PostgreSQL across millions of loan and customer records, and created Tableau and Power BI dashboards for technical and business audiences.

Machine Learning Statistics SQL Hive PostgreSQL Tableau Power BI Credit Risk Customer Segmentation

Data Science Intern

Motilal Oswal Home Finance

Sep 2022 - Feb 2023 (5 months)

Assisted in applying statistical techniques and machine learning to credit risk and customer segmentation. Wrote complex SQL queries and created analytical reports and dashboards.

Machine Learning Statistics SQL Tableau Power BI Credit Risk Customer Segmentation