I’m a Senior Full Stack AI Developer with 10+ years of experience building secure, scalable enterprise applications using Python and modern web technologies. I build production-grade backend services with FastAPI and microservices, and I integrate React.js frontends to deliver high-performance user experiences across finance, healthcare, retail, aviation, and logistics. I specialize in Generative AI and agentic LLM systems, including RAG pipelines, hybrid retrieval, reranking, and evaluation. In roles at Goldman Sachs and Cigna, I’ve designed document ingestion workflows, implemented chunking and retrieval strategies with AWS Bedrock and OpenSearch, orchestrated multi-step flows with LangChain/LangGraph, and supported production reliability with monitoring and strong enterprise security practices.

MOUNIKA NARRASenior Full Stack AI Develo

I’m a Senior Full Stack AI Developer with 10+ years of experience building secure, scalable enterprise applications using Python and modern web technologies. I build production-grade backend services with FastAPI and microservices, and I integrate React.js frontends to deliver high-performance user experiences across finance, healthcare, retail, aviation, and logistics. I specialize in Generative AI and agentic LLM systems, including RAG pipelines, hybrid retrieval, reranking, and evaluation. In roles at Goldman Sachs and Cigna, I’ve designed document ingestion workflows, implemented chunking and retrieval strategies with AWS Bedrock and OpenSearch, orchestrated multi-step flows with LangChain/LangGraph, and supported production reliability with monitoring and strong enterprise security practices.

Available to hire

I’m a Senior Full Stack AI Developer with 10+ years of experience building secure, scalable enterprise applications using Python and modern web technologies. I build production-grade backend services with FastAPI and microservices, and I integrate React.js frontends to deliver high-performance user experiences across finance, healthcare, retail, aviation, and logistics.

I specialize in Generative AI and agentic LLM systems, including RAG pipelines, hybrid retrieval, reranking, and evaluation. In roles at Goldman Sachs and Cigna, I’ve designed document ingestion workflows, implemented chunking and retrieval strategies with AWS Bedrock and OpenSearch, orchestrated multi-step flows with LangChain/LangGraph, and supported production reliability with monitoring and strong enterprise security practices.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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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.
Python Developer at Locus
March 1, 2015 - January 31, 2017
Developed a logistics operations and shipment management system using Python 2.7, Django, and MySQL. Implemented backend modules for customer/order/shipment/delivery management with CRUD operations and REST APIs. Built automation scripts to import, validate, clean, and load CSV/Excel data into MySQL to reduce manual data entry. Added operational reporting features to generate daily/weekly/monthly shipment and delivery status reports. Improved application reliability through defect fixes, unit tests, code reviews, and Linux-based deployment support within an Agile environment; enhanced shipment visibility with real-time tracking and centralized order management.
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.

Education

Bachelor of Science (B.S.) in Computer Science at PES University
January 1, 2011 - December 31, 2015
Bachelor of Science (B.S.) in Computer Science at PES University, Bengaluru, India
January 1, 2011 - January 1, 2015
Bachelor of Science (B.S.) in Computer Science at PES University, Bengaluru, India
January 1, 2011 - January 1, 2015

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Healthcare, Retail, Transportation & Logistics, Software & Internet, Professional Services