Full Stack Developer with Java Spring Boot & React.js Expertise

SUMMARY

BHAVITHA RAMADUGU Full Stack Developer

NJ, USA +1-551-***-**** *************@*****.*** LinkedIn Full Stack Developer with 3+ years of experience designing and delivering enterprise-grade applications using Java Spring Boot, ReactJS, and microservices architecture. Skilled in RESTful APIs, cloud-native deployments on AWS, CI/CD pipelines, and database optimization. Proven track record of improving application performance, reducing manual workflows by 40%, and enhancing user engagement through interactive dashboards and automated processes. Experienced in Agile environments, implementing secure authentication, unit and integration testing, and mentoring teams to deliver high-quality, scalable solutions efficiently.

PROFESSIONAL EXPERIENCE

Full Stack Developer Uber, NJ, USA Jan 2025 – Present

Developed Spring Boot microservices, improving ride-matching efficiency by 35%, reducing latency for over one million daily users, and enabling consistent real-time driver-rider data synchronization across multiple metropolitan regions.

Optimized RESTful APIs integrated with PostgreSQL and MongoDB, decreasing response time by 28%, preventing 15,000 failed transactions monthly, and ensuring accurate synchronization of trip, fare, and payment information.

Designed ReactJS and Angular front-end components, reducing page load times by 20%, improving mobile application engagement by 18%, and enhancing user experience across iOS, Android, and web platforms simultaneously.

Containerized backend services with Docker and deployed on Kubernetes clusters, reducing server downtime by 40%, enabling peak load handling of 250,000 rides per hour, and ensuring consistent system reliability.

Integrated Kafka and RabbitMQ messaging for real-time events, delivering over 500,000 notifications daily without message loss, improving ride status updates, payment confirmations, and driver alerts across multiple cities.

Developed automated testing using JUnit, Mockito, Selenium WebDriver, and Cypress, reducing production defects by 30%, accelerating regression testing speed by 40%, and supporting stable, high-quality feature deployment cycles. Full Stack Developer Accenture Solutions Pvt Ltd, India May 2022 – Jun 2023

Designed and developed enterprise-grade full-stack applications using Java Spring Boot for backend services and ReactJS for dynamic front-end interfaces, improving responsiveness and streamlining core business operations efficiently across multiple modules.

Built RESTful APIs for secure data access and CRUD operations, integrating with MySQL and PostgreSQL databases, optimizing queries, implementing indexing, and ensuring high-performance application response times for mission- critical processes.

Developed interactive real-time dashboards in ReactJS integrated with backend microservices, improving reporting speed, enhancing user engagement, and providing actionable insights for stakeholders across multiple business units.

Automated critical business workflows and reporting pipelines using Java-based ETL processes and scheduled jobs, reducing manual effort by 40%, accelerating data processing, and improving overall operational efficiency.

Deployed and maintained cloud-native applications on AWS services, including EC2, S3, and RDS, implementing CI/CD pipelines with Jenkins and GitHub Actions, reducing deployment time by 35% while improving stability.

Integrated AI/NLP modules into applications for automated document processing, sentiment analysis, and intelligent search capabilities, increasing productivity, reducing manual errors, and improving the speed of content analysis.

Applied microservices architecture using Spring Cloud components such as Eureka and Feign, enabling modular development, service discovery, inter-service communication, and scalable application deployment across distributed systems.

Implemented secure API access using JWT-based authentication and OAuth 2.0, protecting sensitive data, enforcing authorization rules, and maintaining compliance with internal and client security standards consistently.

Built comprehensive unit and integration test suites using JUnit, Mockito, and Cypress, increasing code reliability, detecting defects early, and ensuring maintainability for scalable full-stack application modules.

Collaborated with cross-functional Agile teams, participating in sprint planning, daily stand-ups, and code reviews, ensuring timely delivery of high-quality features, improving inter-team communication, and achieving sprint objectives efficiently. Full Stack Developer Hexaware Technologies, India Jan 2021 – Apr 2022

Developed enterprise web applications using Java, Spring Boot, Hibernate, and JSP, improving data processing efficiency by 25%, streamlining client workflows, and supporting over 10,000 active daily users reliably.

Implemented REST APIs with OAuth 2.0 and JWT authentication, improving secure login speed by 30%, reducing failed authentication attempts by 40%, and enabling seamless third-party system integrations for clients.

Built front-end interfaces with Angular 2+, ReactJS, HTML5, and CSS3, decreasing page load times by 18%, improving task completion rates by 22%, and enhancing cross-platform usability across web and mobile environments.

Automated CI/CD pipelines using Jenkins and GitLab CI, reducing deployment time by 35%, eliminating human errors, increasing release frequency from biweekly to weekly, and accelerating overall software delivery timelines.

Integrated Redis Pub/Sub and RabbitMQ for real-time notifications, delivering over one million messages daily, reducing latency by 25%, and improving monitoring accuracy for dashboards, reporting, and client notifications.

Conducted unit and integration testing using JUnit, Mockito, and Pytest, identifying defects early, reducing post-deployment errors by 27%, and improving overall application reliability across multiple web and backend modules.

Migrated legacy applications to AWS, including S3, DynamoDB, and Lambda, improving uptime by 33%, scaling resources dynamically for 50% higher user loads, and reducing infrastructure costs by 20% consistently.

Collaborated with cross-functional Agile teams, completing 95% of sprint deliverables on time, improving team velocity by 18%, and increasing client satisfaction through timely, high-quality feature delivery consistently. TECHNICAL SKILLS

Languages & Frameworks: Java (8–21), Core Java, J2EE, Spring Boot, Spring MVC, Spring Security, JPA, Hibernate, RESTful APIs, Python (Flask, Django), ASP.NET, C#, MVC, Node.js, TypeScript, JavaScript (ES6+), Golang, Oracle AI/ML & LLM Technologies: OpenAI GPT, LangChain, Hugging Face Transformers, NLP, Sentiment Analysis, Predictive Modeling, Neural Networks, Scikit-learn, TensorFlow, PyTorch Java/J2EE Technologies: Servlets, JSP, JSTL, JDBC, Multi-threading, Java Networking, Spring Data JPA, Lombok, Spring Cloud Python Technologies: Flask, Django, Pandas, NumPy, SQLAlchemy, Pytest Application/Web Servers: Tomcat, WebLogic, JBoss, Nginx, Apache, Jenkins IDEs: Eclipse, IntelliJ, VS Code, PyCharm, NetBeans Web Technologies: HTML5, CSS3, JavaScript, TypeScript, AJAX, jQuery, Bootstrap, Angular 2+, ReactJS, NodeJS, Express JS API, UI/UX Technologies: RESTful APIs, Swagger/OpenAPI, Postman, OAuth 2.0, JWT Web Services: SOAP, REST, Microservices

Methodologies: Agile, Scrum, SDLC, Kanban, TDD, CI/CD practices, GitHub Message Brokers: Kafka, RabbitMQ, Redis Pub/Sub

Cloud Platforms: AWS (S3, Lambda, DynamoDB, IAM, CloudWatch), GCP, Azure, Kubernetes Testing Technologies/Tools: JUnit, Mockito, Selenium WebDriver, Rest Assured, Cypress, TestNG Database: Oracle, MySQL, PostgreSQL, MongoDB, Redis DevOps & Containers: Docker, Kubernetes, Jenkins, CI/CD pipelines (GitHub Actions/GitLab CI) Security: SSL/TLS, OAuth2.0, JWT, Secure coding practices Soft Skills: Problem Solving, Communication, Team Collaboration, Analytical Thinking, Adaptability, Mentoring EDUCATION

Master's in Computer Science Pace University, New Jersey, USA GPA 3.74 May 2025 Bachelor's in Computer Science SR University, Ananthasagar, Telangana, INDIA May 2022 PROJECT

Smart Wealth – AI-Powered Personal Finance Platform

Built a scalable full-stack architecture using Java Spring Boot, ReactJS, and microservices with secure authentication, payment integration, OCR-based receipt scanning, and NLP pipelines for intelligent expense categorization and financial insights.

Developed AI-powered features, including an OpenAI chatbot for real-time financial queries and Power BI dashboards connected through RESTful APIs, enabling personalized budgeting, transaction visualization, and faster financial decision- making.

Implemented robust DevOps practices with CI/CD pipelines (Jenkins, Docker, Kubernetes), serverless functions (Azure, AWS Lambda), Kafka messaging, Redis caching, and automated testing, ensuring performance, scalability, and regulatory compliance.

Automatic Essay Scoring Using NLP

Built backend services using Java Spring Boot to handle essay submissions, process large datasets, and deliver real-time scoring outputs, ensuring scalability, consistent performance, and improved efficiency in academic evaluation.

Integrated advanced NLP pipelines analyzing grammar, syntax, semantics, and coherence, automating assessment of essay quality, enhancing scoring precision, and reducing evaluation bias compared to traditional manual grading approaches in academic institutions.

Developed automated scoring logic with customized feedback generation, providing students with actionable improvement suggestions, increasing transparency in grading, reducing turnaround times, and significantly improving overall learner satisfaction rates across multiple courses.

Heart Disease Prediction Using Naive Bayes

Designed a microservice-based Java application embedding a Naive Bayes machine learning model, processing structured healthcare datasets, and generating accurate risk predictions for heart disease, improving diagnosis support and preventive decision-making outcomes.

Trained Naive Bayes algorithm on patient data, including demographics, lifestyle, and clinical metrics, delivering interpretable predictions with strong accuracy, supporting clinicians in identifying high-risk individuals requiring immediate interventions or preventive care.

Engineered secure APIs enabling integration with hospital systems, providing real-time heart disease predictions, reducing manual review burden, assisting physicians in early diagnosis, and supporting faster, data-driven clinical decision- making across healthcare environments.

Contact this candidate