I'm a Senior Gen AI/ML Engineer with 10+ years of experience building scalable ML and data-engineering solutions across healthcare, banking, airlines, and retail. I design end-to-end AI platforms on AWS and Azure, blending data engineering, model development, and production-grade deployment with a strong emphasis on governance and security. Whether it's low-latency inference, distributed ETL, or prompt engineering for reliable decision support, I lead cross-functional teams to deliver measurable business outcomes. I thrive in regulated environments and enjoy turning complex data into actionable insights through transparent, auditable AI systems.

Mrudula Madugula

I'm a Senior Gen AI/ML Engineer with 10+ years of experience building scalable ML and data-engineering solutions across healthcare, banking, airlines, and retail. I design end-to-end AI platforms on AWS and Azure, blending data engineering, model development, and production-grade deployment with a strong emphasis on governance and security. Whether it's low-latency inference, distributed ETL, or prompt engineering for reliable decision support, I lead cross-functional teams to deliver measurable business outcomes. I thrive in regulated environments and enjoy turning complex data into actionable insights through transparent, auditable AI systems.

Available to hire

I’m a Senior Gen AI/ML Engineer with 10+ years of experience building scalable ML and data-engineering solutions across healthcare, banking, airlines, and retail. I design end-to-end AI platforms on AWS and Azure, blending data engineering, model development, and production-grade deployment with a strong emphasis on governance and security.

Whether it’s low-latency inference, distributed ETL, or prompt engineering for reliable decision support, I lead cross-functional teams to deliver measurable business outcomes. I thrive in regulated environments and enjoy turning complex data into actionable insights through transparent, auditable AI systems.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
See more

Work Experience

Full Stack Developer at Blue Cross Blue Shield (BCBS)
June 1, 2024 - Present
Developed and deployed over 20 RESTful APIs using ASP.NET Core and Entity Framework to manage patient and analytics data. Improved service reliability by 30% through integration of Azure API Gateway for routing, authentication, and monitoring. Designed frontend modules for appointment scheduling and dashboards using React.js, Redux, and Tailwind CSS. Automated CI/CD pipelines in Azure DevOps for build, test, and releases. Ensured HIPAA compliance with data encryption and token-based authentication. Automated static code analysis with SonarQube and PowerShell. Reduced page load times by 40% via React Lazy Loading and conducted comprehensive unit and integration testing achieving 90%+ coverage. Actively engaged in Agile ceremonies and code reviews while managing database schema migrations.
.NET Developer at PRISTO TECHNOLOGY PRIVATE LIMITED
December 31, 2022 - August 18, 2025
Built an internal web platform for managing risk scores, compliance reports, and audit trails using ASP.NET MVC and SQL Server. Developed secure role-based login and authorization using ASP.NET Identity and JWT tokens. Created financial forms and compliance checklists with Razor Pages, Bootstrap, and jQuery validation. Implemented scheduled ETL tasks via Windows Services and ADO.NET. Integrated APIs for live financial risk indicators from external credit bureaus. Configured automated testing and deployment pipelines using GitHub Actions. Optimized SQL queries handling millions of rows through indexing and partitioning. Developed Excel export and report modules and applied ADA compliance best practices to UI design. Reduced manual efforts in sanction screening workflows by 60%.
Senior Gen AI Engineer at Cigna
October 1, 2024 - Present
Led the design and delivery of enterprise-scale Generative AI solutions for healthcare knowledge retrieval, claims interpretation, and internal decision-support in regulated environments. Architected an enterprise AI knowledge assistant enabling semantic search, summarization, and question answering across healthcare policies, claims manuals, and operational content. Built Retrieval-Augmented Generation pipelines with structured metadata and unstructured documents to generate accurate, context-aware responses. Developed document ingestion pipelines with chunking, embeddings, metadata enrichment, and vector indexing to support high-volume retrieval. Applied prompt engineering techniques (zero-shot, few-shot, instruction-based prompting) to improve relevance and grounding. Integrated Azure OpenAI foundation models for summarization and semantic retrieval; designed agentic AI workflows for autonomous task execution and orchestration. Implemented tool calling and function calling patterns
AI/ML Engineer at Morgan Stanley
April 1, 2023 - September 1, 2024
Led design and delivery of enterprise-grade AI/ML solutions for fraud detection, risk analytics, and decision support. Built models using Python, Scikit-learn, XGBoost; end-to-end pipelines including preprocessing, feature engineering, training, validation, and deployment. Applied ARIMA time-series forecasting; NLP for unstructured text analysis. Processed large-scale data with Spark; deployed on AWS EC2/S3; integrated outputs via REST APIs; built dashboards in Tableau/Power BI. Collaborated with data engineers and business stakeholders; contributed to governance and model monitoring.
Senior Data Scientist at Target
July 1, 2020 - March 1, 2023
Led enterprise-scale data science initiatives for fraud detection, retail analytics, and decision support across digital and brick-and-mortar platforms. Designed predictive models for customer behavior and demand forecasting; used ARIMA, Prophet, and LSTM; built feature pipelines; processed data with Spark; deployed on AWS SageMaker; delivered dashboards; collaborated with product and analytics teams; contributed to data quality and A/B testing.
Data Scientist at Southwest Airlines
February 1, 2018 - June 1, 2020
Developed scalable data pipelines to ingest and transform high-volume airline data; built backend analytics services with Python and REST; built predictive models for operations, crew, and customer data; NLP on feedback and notes; designed Azure-based data warehouse with star/snowflake schema; built dashboards; collaborated across teams.
Software Developer at Soliton Technologies
October 1, 2015 - September 1, 2017
Python Developer contributing to backend application development by designing and building scalable server-side components using Python and Django; designed RESTful APIs; data ingestion and processing layers with SQL databases; utilized Pandas/NumPy for data prep; collaborated with cross-functional teams; worked with Apache Spark/Scala for distributed processing.

Education

Master's in Information Systems at Pace University - Seidenberg School of Computer Science and Information Systems
January 11, 2030 - August 18, 2025
Bachelor's in Electronics and Communication Engineering at Gokaraju Rangaraju Institute of Engineering and Technology
January 11, 2030 - August 18, 2025
Bachelor of Technology at Lovely Professional University
January 11, 2030 - February 16, 2026
Bachelor of Technology at Lovely Professional University
January 11, 2030 - February 26, 2026

Qualifications

Microsoft Certified: Azure Developer Associate (AZ-204)
January 11, 2030 - August 18, 2025
AWS Certified Developer – Associate
January 11, 2030 - August 18, 2025

Industry Experience

Healthcare, Telecommunications, Financial Services, Software & Internet, Travel & Hospitality, Retail, Professional Services, Transportation & Logistics