TEJASWI SINGANABOINA
*****, ** 334-***-**** *******.******@*****.*** LinkedIn
PROFESSIONAL SUMMARY
Full Stack Java Developer with over 3 years of experience in designing, developing, and deploying scalable web applications through the Software Development Life Cycle (SDLC). Proficient in Java/J2EE, Spring Boot, and React/Angular for building microservices and responsive UIs. Skilled in cloud platforms (AWS, Azure) and DevOps practices (Docker, Kubernetes, Jenkins) to enhance scalability and performance. Adept at optimizing databases (Oracle, MySQL, MongoDB, Cassandra) and implementing RESTful APIs with Spring Security. Experienced in Agile (Scrum) and Test-Driven Development (TDD), delivering high-quality software with a focus on performance and security.
TECHNICAL SKILLS
EXPERIENCE
Blue Cross Blue Shield, Michigan January 2024 - Present Full Stack Java Developer
Project Title: Healthcare Claims Processing System Project Description: The Healthcare Claims Processing System is a web-based platform designed to streamline the submission, validation, and tracking of healthcare claims. It automates claim processing, integrates with third-party payment systems, and provides real-time status updates to improve efficiency and user experience. Responsibilities:
• Developed responsive user interfaces using React.js, Redux, and React Hooks, optimizing state management and reducing page load times by 30%
• Built and secured RESTful and GraphQL APIs with Spring Boot and Spring Security (OAuth 2.0), enhancing authentication efficiency by 40% and aligning with microservices architecture.
• Utilized JDBC and Hibernate ORM for database connectivity, performing CRUD operations on Oracle and Cassandra databases, improving data retrieval efficiency by 20%.
• Containerized microservices using Docker and orchestrated deployments with Kubernetes on AWS EC2 and S3, increasing application scalability by 50%.
• Developed server-side logic using JSP and Hibernate, reducing development time by 15% through reusable components.
• Implemented RabbitMQ for asynchronous messaging, boosting system responsiveness by 25% and ensuring reliable event- driven communication.
• Automated CI/CD pipelines using Jenkins and Gradle, reducing build times by 15% and deployment errors by 20%.
• Conducted unit and integration testing with Junit and Mockito, achieving 90% test coverage and minimizing production bugs.
• Managed version control with Bitbucket and GitHub, streamlining code reviews and improving team collaboration by 35%.
• Collaborated in Agile Scrum teams using JIRA for task management, improving sprint delivery timelines by 20% through effective sprint planning and retrospectives.
Environment: Java, Spring Boot, React.js, GraphQL, Hibernate, Oracle, Cassandra, AWS (EC2, S3), Docker, Kubernetes, Jenkins, Gradle, RabbitMQ, JUnit, Mockito, Bitbucket, GitHub, JIRA, Agile (Scrum) RealPage, Inc., Hyderabad, India March 2021 - May 2023 Java Developer
Project Title: Property Management Platform
Languages Java, JavaScript, TypeScript, Python, C, C++ Backend Technologies Spring Boot, Spring MVC, Spring Security (OAuth 2.0), Spring Data JPA, Spring IOC, Spring AOP, Hibernate, GraphQL, JDBC, JSP, RESTful APIs, SOAP Frontend Technologies HTML5, CSS3(Sass), Bootstrap, ReactJS, AngularJS, XML, JSON, AJAX, jQuery, Vue.js, Node.js, Express.js
Databases MySQL, PostgreSQL, Oracle, MongoDB, Cassandra, DynamoDB, ElasticSearch Cloud & DevOps AWS (EC2, S3, Lambda, Terraform), GCP (Google Cloud Platform), Azure, Docker, Kubernetes, Jenkins, Maven, Gradle
Web Servers Apache Tomcat, WebLogic
Testing JUnit, Mockito, Postman
Version Control Git, GitHub, GitLab, Bitbucket
Messaging & Event Streaming Apache Kafka, Rabbit MQ IDEs IntelliJ, Eclipse, Visual Studio Code
Operating Systems Linux, Unix, Windows
Other Agile (Scrum), Jira, Test-Driven Development (TDD) Project Description: The Property Management Platform is a comprehensive solution for real estate management, enabling property managers to handle leasing, tenant interactions, and financial transactions. The system integrates front-end dashboards with back-end services to provide real-time analytics and seamless user experiences. Responsibilities:
• Built single-page applications (SPAs) using Angular, HTML5, CSS3, and Bootstrap, improving UI performance by 20% and enhancing user engagement.
• Developed RESTful APIs with Spring Boot and Hibernate, integrating with MySQL and MongoDB databases, reducing data retrieval time by 25%.
• Optimized database queries using Spring Data JPA, enhancing query execution speed by 25% and improving application responsiveness.
• Deployed applications on AWS EC2 and WebLogic servers, leveraging S3 for storage and achieving 99.9% system uptime.
• Implemented Apache Kafka for real-time event streaming, decreasing processing latency by 15% and enabling efficient data synchronization.
• Managed CI/CD pipelines with Jenkins and Maven, reducing deployment errors by 30% and accelerating release cycles.
• Performed unit testing with JUnit and API testing with Postman, achieving 85% code coverage and ensuring robust functionality.
• Utilized Git for version control and GitHub for repository hosting, streamlining branching strategies, code merging, and pull request workflows to improve collaboration and code review efficiency by 35%.
• Followed Agile methodologies and Test-Driven Development (TDD), contributing to sprint planning and ensuring high-quality software delivery.
Environment: Java, Spring Boot, Angular, HTML5, CSS3, MySQL, MongoDB, AWS (EC2, S3), WebLogic, Apache Kafka, Jenkins, Maven, JUnit, Postman, Git, GitHub, Agile (Scrum)
ACADEMIC PROJECTS
Online Library Management System August 2024 - December 2024
• Designed a full-stack Online Library Management System, automating book borrowing, returns, and user management, reducing manual workload by 70%.
• Optimized frontend performance by 60%, enhancing UI/UX with AJAX and jQuery. Environment: PHP, MySQL, HTML5, CSS3, JavaScript, AJAX, jQuery, Visual Studio Code, XAMPP Age and Gender Prediction Using Machine Learning June 2021 - December 2021
• Built a CNN-based gender prediction and age estimation model, refining accuracy to 85% via data preprocessing and hyperparameter tuning.
• Integrated machine learning components, into a functional prototype, demonstrate high performance in real-world scenarios.
• Published research paper “Advancements in Gender Prediction and Age Estimation using Deep Learning Techniques,” in Springer. https://link.springer.com/chapter/10.1007/978-***-**-****-8_31 Environment: Python, TensorFlow, Keras, OpenCV, Jupyter Notebook, PyCharm EDUCATION
Auburn University at Montgomery, AL June 2023 - December 2024 Master of Computer Science
Coursework: Object-oriented programming, Python, Operating Systems, Data Structures and Algorithms, Database Management Systems, Machine Learning, Frontend and Backend Development. Sreyas Institute of Engineering and Technology - Hyderabad, India June 2018 - July 2022 Bachelor of Technology in Computer Science
Coursework: Computer Architecture, Java, Software Engineering, Computer Networks, Web Technologies, Artificial Intelligence, Software Testing, Cloud Computing, Data Mining, Cryptography and Network Security. CERTIFICATIONS
• Full Stack Web Developer – LinkedIn Learning
• AWS Cloud Development – Sreyas Institute of Engineering
• Java and Python Programming – Unique Computers
• Git and GitHub – Geekster Academy
• C Programming – Integrated Institute of Advanced Studies
• Machine Learning with Python – Sreyas Institute of Engineering