Software Engineer React Js

PRUDHVI REDDY NOMULA

940-***-**** *******.******@*****.*** linkedin.com/in/prudhvi-nomula/

PROFESSIONAL SUMMARY

Detail-oriented and results-driven Software Engineer with over 3 years of experience in full-stack development, system optimization, and cloud computing. Proficient in Java, Spring Boot, and React.js, with a strong background in designing scalable microservices and implementing robust RESTful APIs. Skilled in integrating AWS and Azure cloud services, containerization with Docker, and orchestration using Kubernetes. Experienced in automating CI/CD pipelines with Jenkins and Azure DevOps, and adept at working within Agile/Scrum frameworks to deliver high-quality, efficient software solutions. Demonstrates strong analytical skills and effective collaboration with cross-functional teams to meet and exceed business objectives.

TECHNICAL SKILLS

Languages: Java, Python, C++

Web Technologies: HTML, CSS, JavaScript, TypeScript, Bootstrap, jQuery, Ajax, JSON, XML

Frameworks: Spring Boot, Spring MVC, Hibernate, React.js, Angular

Cloud/DevOps: AWS (EC2), Docker, Jenkins, GCP, Azure

Databases: MySQL, MongoDB, Oracle DB, PostgreSQL, NoSQL

Tools: Git,Github, Jira, Eclipse, IntelliJ, Apache Tomcat

Methodologies: Agile/Scrum, TDD, Microservices, Maven PROFESSIONAL EXPERIENCE

Amgen, CA Software Engineer Jun 2024- Present

– Developed and maintained scalable full-stack applications using Java, Spring Boot, and React.js, improving system performance and user experience.

– Designed and implemented RESTful APIs to enable seamless communication between backend and frontend services.

– Integrated AWS cloud services (EC2, S3, RDS, Lambda) to enhance cloud-based deployment and serverless functionality.

– Utilized Docker and Kubernetes for containerization and efficient scaling of applications.

– Automated CI/CD pipelines using Jenkins, streamlining the deployment process and reducing manual intervention.

– Actively worked on improving system performance, conducting code reviews, and writing unit tests and integration tests using JUnit to ensure the reliability and maintainability of the codebase. University of North Texas, TX Student Technical Assistant Jan 2024– May 2024

– Ensured all systems were updated, secure, and functioning properly by managing Windows Server and utilizing WSUS for software updates, facilitating an effective learning space.

– Assisted professors in setting up software environments with Eclipse, IntelliJ IDEA, and NetBeans.

– Creating instructional materials using Microsoft Office, and grading assignments through Canvas and Turnitin, improving the overall educational experience.

– Created and maintained documentation for technical procedures, software usage, using GIT for version control and Maven for build automation, providing a valuable resource for students and faculty. Cybage Software, India Associate Software Developer Jul 2020 – Aug 2022

– Designed and developed Java-based microservices using Spring Boot and Spring Cloud, providing highly scalable and maintainable services for enterprise clients.

– Created robust and efficient RESTful APIs to support the communication between microservices, ensuring high data availability.

– Integrated with Azure cloud services, utilizing Azure App Service, Blob Storage, and SQL Database for deployment and data storage.

– Leveraged React.js for front-end development, enhancing the user interface and ensuring responsiveness and cross- browser compatibility.

– Utilized Apache Kafka for event-driven architecture, improving real-time data processing and integration between services.

– Worked with PostgreSQL and MySQL for efficient database management and optimized query performance.

– Automated CI/CD pipelines using Azure DevOps for continuous integration and deployment, reducing manual effort and accelerating delivery times.

EDUCATION

University of North Texas- Masters in Computer Science Grade:3.8 Vignan Institute of Technology and Science- Bachelors in Electronics and Communications Engineering. ACADEMIC PROJECTS

COVID-19 Vaccination Effectiveness and Healthcare Resource Distribution Analysis

– Analyzed vaccine effectiveness and healthcare resource distribution using comprehensive datasets. Employed data cleaning with OpenRefine, Hadoop ecosystem for processing, and BigQuery/Hive for data analysis. Created visual reports using Google Looker Studio.

– Revealed significant differences in COVID-19 case and death rates between vaccinated and unvaccinated populations,

and highlighted areas for optimizing healthcare resource distribution. DBMS Project: Online Bookstore Management System

– Developed an Online Library Management System using Java for backend development and MySQL for database management. Created a web-based frontend using JSP (JavaServer Pages), HTML, CSS, and Bootstrap framework for user interface design.

– Designed a relational database schema to manage books, users, transactions, and library branches. Successfully deployed

the Online Library Management System, providing a robust platform for users to manage library resources and transactions online.

Sentiment Classification of QA-Based Customer Reviews on Amazon

– Developed a sentiment analysis system using Python, TextBlob, and various classifiers to analyze Amazon customer reviews, achieving accurate sentiment classification through TfidfVectorizer and handling data normalization issues.

– Utilized the ”Consumer Reviews of Amazon Products” dataset from Kaggle, performed comprehensive data preprocessing, and visualized results using Matplotlib and Seaborn to provide insights into customer feedback patterns.

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