Naga Vuyyuru
Ellicott City,MD
Summary
Software Engineer with 7+ years of experience designing and developing cloud-native, AI-enabled, and full-stack applications using Java, Spring Boot, React, and AWS. Experienced in building scalable microservices, RESTful APIs, event-driven architectures, and modern web applications while integrating AI services such as Amazon Bedrock and Textract for intelligent document processing. Strong background in AWS cloud services, DevOps, data integration, and distributed systems with proven experience delivering end-to-end enterprise solutions across healthcare, government, insurance, and cloud infrastructure domains.
Overview
7
7
years of professional experience
6
6
years of post-secondary education
Work History
Software Engineer
Maryland Benefits
02.2024 - Current
- Developed end-to-end features for an AI-powered Enterprise Document Management System (EDMS) using React, Java, Spring Boot, and AWS, automating document intake, classification, and validation workflows to reduce manual document review effort by approximately 30% through AI-assisted document processing.
- Built responsive React interfaces and Spring Boot REST APIs for document upload, AI-extracted field review, processing status tracking, and secure document management with role-based access control.
- Implemented Intelligent Document Processing (IDP) workflows using Amazon Textract, Amazon Bedrock, AWS Step Functions, and Lambda to automate OCR, document classification, data extraction, confidence-based validation, and routing of low-confidence documents for human review.
- Designed event-driven integrations using API Gateway, EventBridge, SNS, and SQS, enabling asynchronous workflow execution and integration with downstream enterprise applications.
- Developed a full-stack cloud cost analytics application using React, Spring Boot, and AWS, providing interactive dashboards and resource-level visibility into cloud spending across multiple AWS accounts.
- Engineered scalable AWS Glue (PySpark) pipelines to process AWS Cost and Usage Reports, applying business transformations and storing curated datasets in Amazon S3 Tables (Apache Iceberg) to power analytics dashboards, reporting, and Amazon SageMaker workloads.
- Developed reusable backend libraries and shared utility modules to standardize validation, logging, configuration management, and workflow execution across multiple enterprise applications.
- Collaborated with architects, QA engineers, and cross-functional teams through Agile development, code reviews, Jenkins CI/CD, production support, and AWS-based deployments to deliver scalable cloud-native solutions.
Software Development Engineer
Amazon
02.2022 - 02.2024
- Designed and developed scalable Java-based microservices using Spring Boot for AWS VPN services, implementing RESTful APIs to support VPN lifecycle operations including creation, modification, and management of VPN connections.
- Developed new features and enhanced an internal troubleshooting and log analysis application used by customer support teams by building React UI components and Node.js, Express.js backend services for efficient VPN issue investigation.
- Optimized centralized log indexing and retrieval mechanisms, reducing log retrieval response times by approximately 30% and improving troubleshooting efficiency for customer support teams.
- Developed a secure log delivery solution that sanitized VPN service logs and published them to Amazon CloudWatch, enabling customers to troubleshoot connectivity issues independently while protecting sensitive service information.
- Contributed to migration of application services from Amazon RDS to DynamoDB by implementing backend changes, supporting DynamoDB schema updates, and integrating transactional operations to ensure reliable data updates.
- Developed automated data processing workflows using AWS Glue and Lambda to transform and analyze VPN service logs stored in Amazon S3, enabling efficient monitoring and operational troubleshooting.
- Developed Python automation scripts to streamline operational tasks including VPN connection data retrieval, log analysis, and system monitoring, reducing manual effort for engineering teams.
- Automated cloud infrastructure provisioning and application deployments using AWS CDK, CloudFormation, CodePipeline, and CodeBuild, managing AWS resources including EC2, S3, IAM roles, Lambda functions, and networking components.
- Participated in architecture discussions, design reviews, code reviews, and on-call production support, collaborating with cross-functional teams to troubleshoot issues and deliver reliable software solutions.
Software Engineer Co-op
ERT
02.2021 - 09.2021
- Enhanced a client-facing clinical trial management web application by implementing new features and maintaining backend services using C# .NET Core and frontend components using Angular 8, supporting healthcare research workflows.
- Built a Java-based web application deployed on Apache Tomcat hosted on AWS to receive webhook requests from sleep monitoring devices, perform initial request processing, and initiate downstream data processing workflows.
- Designed and implemented cloud-based processing workflows using AWS Step Functions and Lambda, orchestrating data validation, transformation, enrichment, and storage of processed sleep data in MongoDB.
- Implemented application monitoring and troubleshooting using Amazon CloudWatch Logs to track workflow execution and identify processing issues.
- Collaborated with QA engineers and development teams to perform testing, resolve defects, and support CI/CD deployments using Jenkins in an Agile development environment.
- Participated in code reviews, debugging, and feature enhancements to improve reliability and maintainability of healthcare technology applications.
Software Engineer
Capgemini
07.2017 - 07.2019
- Developed and enhanced full-stack web application modules for Admin and Customer insurance portals using React, JavaScript, HTML, and CSS, supporting a platform managing over 1 million insurance policies.
- Implemented Java-based backend services and RESTful APIs using Spring Framework and Hibernate to support policy management, customer servicing, and business workflow requirements.
- Designed and integrated reusable React components with backend services to deliver responsive user interfaces and improve user experience across insurance portal features.
- Developed SQL queries, stored procedures, and data access logic for retrieving, validating, and processing insurance policy and customer information.
- Improved application performance by integrating Redis Cache for frequently accessed data, reducing repetitive database queries and enhancing application response times.
- Utilized Elasticsearch for application search capabilities, log analysis, and troubleshooting, enabling efficient querying and investigation of system activities.
- Collaborated with senior developers, QA engineers, and business stakeholders to analyze requirements, implement enhancements, resolve defects, and deliver sprint commitments in an Agile Scrum environment.
- Participated in the complete software development lifecycle, including requirement analysis, development, unit testing, debugging, and production support.
Education
Master of Science - Information Systems
Northeastern University
Boston, MA 08.2019 - 12.2021
Bachelor of Technology - Computer Science and Engineering
Jawaharlal Nehru Technological University
Hyderabad, India 06.2013 - 05.2017
Skills
Programming Languages: Java, Python, JavaScript, TypeScript, Scala, SQL, C#
Backend & Frontend : Spring Boot, Spring MVC, Hibernate, REST APIs, Microservices, React, Redux, Angular, Nodejs, Expressjs, HTML5, CSS3, Bootstrap
AI & Cloud Technologies: Amazon Bedrock, Amazon Textract, SageMaker, AWS Lambda, Amazon ECS, AWS Step Functions, API Gateway, Amazon S3, DynamoDB, Amazon RDS, AWS Glue, Amazon CloudWatch, EventBridge, SNS, SQS, IAM, AWS CDK, CloudFormation
Data & Databases: PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Apache Spark, PySpark, Apache Iceberg, Amazon Redshift
DevOps & Tools: Docker, Kubernetes, Jenkins, AWS CodePipeline, AWS CodeBuild, Git, Bitbucket, IntelliJ IDEA, Eclipse, Visual Studio Code
Certification
AWS Certified AI Practitioner (Early Adopter)
Server-side Development with NodeJS, Express and MongoDB - Coursera
AWS Certified Cloud Practitioner
Timeline
Software Engineer
Maryland Benefits
02.2024 - Current
Software Development Engineer
Amazon
02.2022 - 02.2024
Software Engineer Co-op
ERT
02.2021 - 09.2021
Master of Science - Information Systems
Northeastern University
08.2019 - 12.2021
Software Engineer
Capgemini
07.2017 - 07.2019
Bachelor of Technology - Computer Science and Engineering
Jawaharlal Nehru Technological University
06.2013 - 05.2017