Sai Praneeth Mada Email & Phone Number

Texas, United States

• Engineered fully responsive web applications using Java, Spring Boot, HTML, CSS, and JavaScript, delivering a consistent user experience across all devices. Enhanced user interaction, supporting over 50,000 users.
• Developed Single Page Applications (SPAs) utilizing Java-based frameworks and React JS, optimizing navigation and reducing page load times from 3 seconds to 1 second, leading to higher user retention and smoother.
• Led a cross-functional team to design and develop a modern e-commerce platform using Java and Spring Framework, handling over 5,000 daily transactions and improving overall sales functionality, driving more efficient.
• Implemented responsive design with Bootstrap and Java technologies, resulting in an improved mobile experience for more than 70% of the platform's users, contributing to the company's mobile-first strategy.
• Directed data migration projects, transitioning over 1 million records from legacy systems to MySQL databases. This reduced migration time by 30 hours and ensured seamless data consistency during the process.
• Utilized AWS cloud services like EC2, S3, and RDS, enabling secure and scalable application hosting. Supported 60% uptime during peak user activity, significantly improving performance and availability.

Texas, United States

• Directed full-stack development of finance reporting systems using Java, Spring Boot/REST, and Angular, improving data processing speed and increasing report accuracy by 30%, enabling faster decision-making for.
• Implemented RESTful APIs with Node.js and Express.js, establishing real-time communication between backend systems and web/mobile applications, resulting in the seamless handling of over 1 million transactions per.
• Enhanced data consumption paths using Python and Kafka, increasing real-time data analysis efficiency by 25%, and supporting 1 million+ transactions per minute for financial operations.
• Optimized MongoDB performance by improving indexing and partitioning techniques, reducing query response times from 500ms to 200ms, and supporting the system’s ability to manage big data queries more efficiently.
• Implemented application with docker and kubernetes, made application scalable and easy to deploy in different cloud space.
• Refactored applications into the AWS ecosystem, leveraging AWS Lambda and S3, improving data warehousing capabilities by 35% while reducing operational costs by 20% through serverless architecture.

Bengaluru, Karnataka, India

• Designed and implemented end-to-end web applications using Java Spring MVC and React.js, handling complex user interactions and backend data processing for e-commerce websites. This resulted in an improvement in page.
• Transitioned from a monolithic architecture to microservices using Spring Boot and RabbitMQ, which reduced system downtime by 10 hours per month and allowed the independent deployment of 50+ microservices without.
• Utilized Hibernate for efficient ORM integration with OracleDB, optimizing large-scale financial transaction processing and reducing query response times by 1 second in high-traffic environments.
• Integrated third-party APIs via RESTful services, enabling real-time updates for web applications and processing over 200,000 real-time transactions daily, which increased operational efficiency and improved data.
• Developed real-time financial dashboards using Power BI and React.js, providing executives with key performance indicators. This led to faster decision-making by cutting reporting times from 2 days to 4 hours.
• Streamlined build automation by implementing Maven, cutting build times by 30 minutes per build cycle, and improving collaboration across teams through standardized workflows.

India

• Implemented RESTful APIs using Java and Spring Boot, enabling seamless integration with front-end systems. This improved data processing speed, reducing latency from 300ms to 200ms for critical business workflows.
• Developed fast and loosely coupled services using Spring Cloud and Kafka as homogeneous service communication buses, ensuring system stability during traffic spikes.
• Led front-end development with React.js and Material-UI, optimizing UI performance and responsiveness, resulting in a 25% decrease in bounce rates and a 15% increase in overall user satisfaction as measured by feedback.
• Enhanced application performance by implementing Redis and Hibernate caching solutions, reducing database query load and cutting query execution time from 1.5 seconds to under 1 second during peak traffic.
• Implemented Jenkins and Docker for Continuous Integration/Continuous Deployment (CI/CD), reducing testing and deployment times by 50%, and increasing deployment frequency to 5 releases per week with minimal human.
• Utilized AWS services like S3 and EC2 for secure data storage and reliable computing services, improving system reliability and availability in distributed systems.

Master Of Science - Ms, Computer Science

Bachelor Of Technology - Btech, Computer Science