Senior Software Engineer Cloud, Microservices, AI

VARSHA CHANDRAHASAREDDY MULANGI

Location: USA Phone: +1-469-***-**** Email: ***************@*****.*** Linkedin Portfolio Summary

Software Engineer specializing in scalable microservices, AI-driven platforms, and cloud-native architectures across healthcare, finance, and research domains. Skilled in Python, Java, React, and cloud-native architecture on AWS and Azure, with hands-on experience in microservices, CI/CD, and real-time data systems. Focused on delivering secure, high-performance solutions that streamline workflows and integrate AI to enhance system intelligence.

Experience

Molina Healthcare - Software Engineer USA September 2025 – Present

• Directed full-stack development of IntelliClaims, a real-time AI-powered platform managing 22K+ daily clinical and billing transactions, streamlining claims processing across multi-state healthcare systems.

• Designed microservices using Python (FastAPI) and Java (Spring Boot) to automate EDI workflows, ensuring 100% HIPAA compliance and improving audit readiness by 40%.

• Constructed event-driven pipelines using AWS Lambda, Amazon EKS, Docker, and FHIR/HL7 APIs, enabling real-time handling of 100K+ patient/provider events and reducing reconciliation time by 35%.

• Implemented ML models with scikit-learn and AWS SageMaker to automate claim triaging and classification, increasing processing speed by 3x and cutting manual workloads by 70%.

• Optimized deployment processes by configuring CI/CD pipelines with Jenkins, GitHub Actions, and Prometheus, reducing production incidents by 45% and improving release reliability.

• Developed a GraphQL API layer to enhance data delivery for 10+ Angular-based clinical apps, reducing API response time by 25% and improving integration of FHIR records.

Oregon State University - Software Developer USA April 2024 – June 2025

• Engineered SimuHCI Lab, a cloud-based simulation platform for Human-Computer Interaction (HCI) research, built using Java and Node.js, supporting 100–500 concurrent users through live WebSocket sessions.

• Applied OpenAI’s GPT models to simulate realistic user behaviors across interaction scenarios, significantly improving scenario realism, expanding test coverage, and enhancing validation accuracy.

• Refined dashboard performance using Next.js (SSR/SSG) and Angular optimization, resulting in a 30% reduction in load times and improved user experience for research participants. Accenture - Associate Software Engineer India October 2021 – August 2023

• Contributed to FinSecure Suite, a high-volume transaction platform for J.P. Morgan, processing 600K+ daily operations (payments, settlements, reconciliation) with 99.9% uptime, ensuring high system reliability.

• Engineered backend components using Django and Spring Boot, and built React-based internal dashboards to visualize complex financial metrics and transaction flows for multiple teams.

• Integrated enterprise systems via REST and GraphQL APIs to automate workflows like payment initiation, decreasing manual entry by 40% and improving operational speed.

• Delivered real-time reporting by linking C# analytics services with Python microservices, embedding AI-based anomaly detection to identify suspicious patterns with 35% improved accuracy.

• Revamped CI/CD pipelines using Jenkins, Docker, and AKS, reducing deployment failures by 40% and accelerating delivery cycles by 30%.

• Provisioned scalable Azure infrastructure using Terraform, enhancing environment consistency and cutting setup time by 50% across dev, test, and prod.

• Produced detailed API documentation via Swagger, improved backend test coverage with JUnit to 90%, and supported production with root cause analysis and critical hotfix deployments. TATA Group - Software Developer India July 2020 – August 2021

• Developed real-time logistics dashboard features for LogiDash using React and Flask, including shipment and payment tracking modules; improved backend responsiveness by 50% through Redis caching and SQL query optimization.

• Automated shipment validation workflows using Python and GPT-3, reducing manual effort by 60% through simulation of edge-case updates; supported AWS ECS deployments via Docker and CloudFormation to streamline infrastructure delivery. Technical Skills

• Programming Languages: Java, C#, Python, JavaScript (ES6+), TypeScript, HTML5, CSS3

• Frontend Frameworks & Libraries: React.js, Angular, Redux, Next.js, Bootstrap, GraphQL

• Backend Frameworks & Libraries: Node.js, Express.js, Spring Boot, Django, ASP.NET Core Web API

• Backend Libraries: Apache Kafka, JUnit, RESTful APIs, SOAP, Swagger UI, Postman

• Database & Cloud Storage: MySQL, PostgreSQL, MongoDB, Oracle, Redis, Firebase, Azure SQL Database, AWS RDS

• Cloud & DevOps: AWS (EC2, S3, Lambda), Azure, Docker, Kubernetes, Jenkins, GitHub Actions, Azure DevOps, CI/CD Pipelines, Terraform

• Version Control: Git, GitHub, Bitbucket, Azure DevOps

• Additional: Agile/Scrum methodologies, WebSockets, JWT/OAuth 2.0, unit testing, and performance optimization Education

Oregon State University, Corvallis, OR Master of Science (MS) in Computer Science August 2023 – May 2025 Coursework: Distributed Systems, Cloud Computing, Data Structures and Algorithms, Software Engineering, Machine Learning, Web Application Development

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