Vikas Doddapaneni Email and Phone Number

• Participated actively in agile development processes, delivering features that enhanced user experience and increased average session time by 20%.• Pioneered the use of Java 8 and AngularJS in creating an innovative IoT device management platform, enhancing device-to-server interactions and attracting 4 new enterprise clients in the first quarter post-launch.• Optimized database queries by using AWS RDS, resulting in a 20% reduction in query processing time.• Architected and built complex client-side applications using JavaScript (ES5/ES6), React.js, Redux, HTML5, CSS3, Node.js.• Skilled in integrating Tableau with Java-based backend services to deliver dynamic, data-driven visualizations and interactive dashboards.• Developed a continuous integration and deployment pipeline using Jenkins, reducing deployment-related issues by 30%.• Architected and led the development of a cloud-based analytics platform using Java 11 and Kubernetes, resulting in a 40% increase in data processing speed and serving over 10,000 users globally.• Assisted in database design and optimization for MySQL, leading to a 15% increase in query performance.

• Experienced in applying SDLC methodologies to ensure structured, efficient, and high-quality software development processes.• Developed Python scripts to automate data tasks, reducing manual data handling by 20%.• Designed front-end using HTML, CSS and Javascript, and integrated with Java backend services.• Spearheaded the development of a cloud-based analytics application using Java and Apache Kafka, improving data processing efficiency by 40%.• Optimized system components using Node.js and React.js which improved speed by 45%.• Instituted a Continuous Integration/Continuous Deployment (CI/CD) pipeline with Docker, slashing deployment frequency from monthly to daily while ensuring 99.9% uptime.• Assisted in developing the backend for Microsoft Azure cloud services using Java, improving cloud service adoption by 15%.• Automated the deployment process using Terraform, which shortened the deployment time from three hours to 30 minutes.