Java Full-Stack Engineer with AWS & Microservices

Arun Kalagoni

M : +1-913-***-**** Email :**************@*****.*** Leetcode Linkedin

PROFESSIONAL SUMMARY:

Full Stack Java Developer with 4+ years of experience building scalable web and enterprise applications using Java/J2EE, Spring Boot, REST APIs, and front-end technologies like Angular and React. Skilled in Agile, TDD, CI/CD, and cloud deployment on AWS. Strong in Core Java, microservices, messaging (RabbitMQ, JMS), and databases (Oracle, MongoDB). Proven ability to modernize legacy systems, improve performance, and collaborate across cross-functional teams. EDUCATION:

Master’s in Computer Science University of Central Missouri warrensburg, Missouri 3.6/4 Jan 2023-Dec 2024 TECHNICAL SKILLS:

Languages: Java, C, C++, Python, SQL, PL/SQL

Web Technologies: HTML5, CSS3, JavaScript, XML, JSON Frontend: React.js, Bootstrap, jQuery.

Backend: Spring Boot, Spring MVC, Hibernate, JPA, EJB, JMS Web Services: RESTful APIs, SOAP, Microservices

Databases: Oracle 11g, MySQL, PostgreSQL, MongoDB

Cloud: AWS (EC2, S3, Lambda, RDS, API Gateway)

CI/CD & DevOps: Jenkins, Git, Maven, Docker, Kubernetes, GitHub Actions Messaging & Streaming: Apache Kafka, RabbitMQ, JMS. Monitoring & Observability: Grafana, Prometheus, ELK Stack (Elasticsearch, Logstash, Kibana) Testing & Automation: JUnit, Mockito, Selenium WebDriver, TestNG. Methodologies: Agile (Scrum), Waterfall

AI/ML: Machine Learning, Deep Learning, NLP, Generative AI, TensorFlow, PyTorch, OpenAI API, LLM Fine-Tuning, Prompt Engineering.

WORK EXPERIENCE:

Client: BCBS USA Feb 2025 – Current

Role: Java Full Stack Developer

ResponsibiliWes:

• Developed automated unit and integration test suites for BCBS claims and member services using JUnit, Mockito, and React component tests, achieving 85%+ test coverage and reducing production regressions by strengthening release validation for customer-facing workflows.

• Optimized RESTful APIs built with Java 17 and Spring Boot, improving throughput for high-volume claims processing and reducing API response time by 30% through query tuning, caching strategies, and efficient service- layer design across PostgreSQL/Oracle and MongoDB-backed services.

• Built full-stack BCBS portal features using ReactJS + TypeScript with Spring Boot backends, reducing page load time by 20% via performance tuning to enhance the member and operations experience.

• Implemented token-based security using Spring Security (JWT/OAuth2) and role-based access control (RBAC), integrating with Azure Active Directory and AWS IAM/Cognito to strengthen authorization governance and protect sensitive insurance data.

• Implemented end-to-end CI/CD pipelines using Git and Jenkins to automate build, test, and deployment of microservices, reducing manual deployment effort and improving delivery consistency across dev, QA, and production environments.

• Deployed and scaled microservices on Azure (AKS/App Service) and AWS (EKS/ECS/EC2), leveraging autoscaling, health checks, and load balancing to improve availability and resilience for time-sensitive claims workflows.

• Managed infrastructure as code using Terraform across Azure and AWS, provisioning secure resources

(networking, compute, storage) with standardized policies, integrating Azure Key Vault and AWS Secrets Manager/Parameter Store for secrets management to strengthen security and compliance posture.

• Troubleshoot production issues using logs and monitoring (CloudWatch, Splunk, ELK, Grafana), reducing time-to diagnose for incidents.

Client: Optum India July 2020 – Nov 2022

Role: Java Full Stack Developer

Responsibilities:

• Established interactive UI/UX components using React.js, improving user engagement by 15% through optimized rendering, component reusability, and state management with Redux and React Hooks.

• Created and implemented a comprehensive logging and monitoring solution using ELK Stack (Elasticsearch, Logstash, Kibana) and Prometheus, enabling real-time issue detection and reducing mean time to resolution

(MTTR) by 40%.

• Collaborated with cross-functional teams to define architecture and implement business-driven solutions,utilizing Git for version control and code collaboration.

• Employed concurrent service workflows using Java ExecutorService to efficiently process high-volume healthcare transactions in parallel, resulting in a 25% increase in system throughput and enhanced performance under peak load.

• Built and integrated serverless event-driven workflows using AWS Lambda and S3 triggers to automate data ingestion and reporting pipelines.

• Executed fine-grained authorization and authentication mechanisms for GraphQL APIs using Spring Security and JWT, reducing unauthorized access incidents by 30%.

• Accomplished and managed scalable AWS EC2 instances to host Java-based applications, optimizing resource utilization and reducing infrastructure costs by 40% through auto-scaling and load balancing. Client: Wells Fargo India June 2019 – June 2020

Role: Java Developer

Responsibilities:

• Assisted in the development of internal banking dashboards using Java, JavaScript and Spring Boot for backend services and JSP/HTML/CSS for the frontend in early-stage enterprise systems.

• Gained exposure to full-stack development through tasks like building UI forms, validagng input data using JavaScript, and managing styling with CSS3 and Bootstrap.

• Wrote Java classes using Core Java concepts such as Collecgons, Enums, Excepgon Handling, and File I/O to support backend features like transacgon history and user nogficagons.

• Applied Java 8 features like Streams and Lambda expressions to simplify data handling and improve backend code quality.

• Performed database operagons using PL/SQL in PostgreSQL, including simple stored procedures, CRUD operagons, and indexing for improved query efficiency.

• Pargcipated in daily Agile Scrum meegngs, sprint planning, and retrospecgves; used JIRA for task tracking and Git for version control and collaboragon.

• Collaborated with senior developers to write unit tests using JUnit and debug issues logged during QA tesgng phases.

• Contributed to CI/CD acgviges by assisgng in Jenkins build monitoring and Maven dependency setup under supervision.

• Created shell scripts for basic automagon tasks, such as cleaning temp files, triggering deployment builds, and configuring rungme environments.

• Learned and applied OOAD principles and standard design pakerns like DAO and MVC while working on backend modules under mentorship

PROJECTS:

Stock Price PredicWon using Deep Learning

• Developed a stock price predicgon model leveraging LSTM networks for gme-series forecasgng.

• Trained and evaluated the model on historical market data, achieving improved predicgon accuracy.

• Incorporated sengment analysis of financial news and social media to enhance forecasgng performance. Product recommendaWon system for e-commerce using collaboraWve filtering and textual clustering.

• Built a hybrid recommendagon system combining popularity-based, text-based, and collaboragve filtering methods.

• Applied NLP techniques (TF-IDF, clustering) to improve search-based recommendagons.

• Implemented matrix factorizagon (SVD) for personalized user–item predicgons.

• Developed an end-to-end ML workflow for data processing, training, evaluagon, and live predicgon.

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