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I am Mounika Narra, a Senior AI/ML Engineer focused on building scalable Generative AI and RAG-powered solutions. I enjoy solving complex business problems with data-driven approaches and collaborating across teams to deliver production-grade AI systems. My work spans finance, healthcare, retail, and aviation, where I design end-to-end pipelines, optimize LLM performance, and implement robust MLOps practices.…I am Mounika Narra, a Senior AI/ML Engineer focused on building scalable Generative AI and RAG-powered solutions. I enjoy solving complex business problems with data-driven approaches and collaborating across teams to deliver production-grade AI systems. My work spans finance, healthcare, retail, and aviation, where I design end-to-end pipelines, optimize LLM performance, and implement robust MLOps practices.

Mounika Narra

Data Scientist, AI Engineer, AI Developer, +2

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I am Mounika Narra, a Senior AI/ML Engineer focused on building scalable Generative AI and RAG-powered solutions. I enjoy solving complex business problems with data-driven approaches and collaborating across teams to deliver production-grade AI systems. My work spans finance, healthcare, retail, and aviation, where I design end-to-end pipelines, optimize LLM performance, and implement robust MLOps practices.…I am Mounika Narra, a Senior AI/ML Engineer focused on building scalable Generative AI and RAG-powered solutions. I enjoy solving complex business problems with data-driven approaches and collaborating across teams to deliver production-grade AI systems. My work spans finance, healthcare, retail, and aviation, where I design end-to-end pipelines, optimize LLM performance, and implement robust MLOps practices.

Available to hire

I am Mounika Narra, a Senior AI/ML Engineer focused on building scalable Generative AI and RAG-powered solutions. I enjoy solving complex business problems with data-driven approaches and collaborating across teams to deliver production-grade AI systems.

My work spans finance, healthcare, retail, and aviation, where I design end-to-end pipelines, optimize LLM performance, and implement robust MLOps practices.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Senior AI/ML Engineer at Goldman Sachs

January 1, 2024 - Present

Architected and deployed a scalable Retrieval-Augmented Generation (RAG) platform leveraging LLMs, LangChain, and vector search to generate context-aware financial insights. Built semantic retrieval pipelines with embeddings (FAISS/Pinecone), integrated knowledge graphs for enhanced contextual understanding, and implemented governance and evaluation workflows. Delivered scalable AI microservices via FastAPI, Docker, and Kubernetes for high-throughput production inference; established real-time and batch data ingestion with Apache Kafka; tuned prompts and caching to optimize latency and response quality; implemented MLflow-based experiment tracking and model versioning.

Senior Machine Learning Engineer at Cigna

January 1, 2022 - December 1, 2023

Designed and developed ML models for clinical risk prediction and claims intelligence using XGBoost and Scikit-learn. Built scalable data processing and feature engineering pipelines with Apache Spark/PySpark to handle large healthcare claims data. Deployed real-time risk scoring APIs using FastAPI, and implemented model monitoring, drift detection, and evaluation pipelines with MLflow and Evidently AI. Applied SHAP for explainability to support audit/compliance, and automated ML pipelines with Apache Airflow on AWS to streamline training, deployment, and lifecycle management.

Machine Learning Engineer at Target

August 1, 2020 - December 1, 2021

Designed and developed machine learning models for demand forecasting and personalized product recommendations. Built scalable data processing and feature engineering pipelines (Spark, Pandas) and implemented forecasting models to support planning across product categories. Developed REST-based inference services using Flask and conducted model evaluation and A/B testing to improve relevance and business impact.

Data Scientist at American Airlines

February 1, 2017 - July 1, 2020

Developed predictive models for flight delay analysis and travel demand forecasting, supporting operations optimization and on-time performance. Built time-series models for capacity planning, performed customer analytics segmentation, and implemented NLP pipelines for sentiment analysis on feedback. Conducted A/B testing for pricing optimization and built dashboards using Tableau to monitor KPIs.

Junior Data Analyst / Python Developer at Locus

March 1, 2015 - January 1, 2017

Developed data processing and transformation workflows using Python and SQL to clean and analyze logistics data, and built automated data validation/reporting pipelines. Assisted in developing analytical models for route optimization and logistics efficiency, and designed dashboards in Excel and Matplotlib to visualize shipment trends and bottlenecks.