I am a software engineer specializing in full stack development with expertise in Java, Spring Boot, and PostgreSQL. I have successfully architected backend systems that handle over 10,000 concurrent requests with high uptime and engineered microservices that significantly reduce query times and increase system throughput. I enjoy analyzing processes to improve efficiency and code quality through structured reviews. I am passionate about leveraging advanced engineering skills to develop scalable and efficient software solutions that address complex technical challenges. I continuously seek opportunities to innovate and streamline deployment processes while enhancing user engagement and system performance.

Madhuri Chintala

I am a software engineer specializing in full stack development with expertise in Java, Spring Boot, and PostgreSQL. I have successfully architected backend systems that handle over 10,000 concurrent requests with high uptime and engineered microservices that significantly reduce query times and increase system throughput. I enjoy analyzing processes to improve efficiency and code quality through structured reviews. I am passionate about leveraging advanced engineering skills to develop scalable and efficient software solutions that address complex technical challenges. I continuously seek opportunities to innovate and streamline deployment processes while enhancing user engagement and system performance.

Available to hire

I am a software engineer specializing in full stack development with expertise in Java, Spring Boot, and PostgreSQL. I have successfully architected backend systems that handle over 10,000 concurrent requests with high uptime and engineered microservices that significantly reduce query times and increase system throughput. I enjoy analyzing processes to improve efficiency and code quality through structured reviews.

I am passionate about leveraging advanced engineering skills to develop scalable and efficient software solutions that address complex technical challenges. I continuously seek opportunities to innovate and streamline deployment processes while enhancing user engagement and system performance.

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Experience Level

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Work Experience

Software Engineer at Medicare Trans
October 1, 2023 - Present
Architected and implemented scalable backend solutions for a no-code platform application using Java Spring Boot, PostgreSQL, and MongoDB, reducing database query times by 60%. Led development of a high-performance transaction microservice processing 10,000 concurrent requests with 99.9% uptime. Orchestrated frontend microfrontend architecture with reusable React components, reducing development time by 25% and user input errors by 40%. Innovated an interactive tree-like workflow visualization using Next.js and HTML5 Canvas, boosting user engagement by 35% and reducing customer support inquiries by 20%. Streamlined deployment processes by containerizing applications with Docker and Kubernetes, cutting deployment time by 50% and decreasing infrastructure costs by 30%.
Graduate Assistant at Texas State University
August 31, 2023 - August 28, 2025
Optimized research SQL queries by adding composite indexes and refactoring subqueries, achieving 3× faster execution times. Engineered Python-based data-validation scripts and CI-driven ETL pipelines, increasing dataset integrity to 99.8% across four faculty projects. Resolved 90% of over 100 support tickets within 24 hours and authored self-service guides, reducing ticket volume by 15%.
Junior Software Engineer at EPAM
January 31, 2022 - August 28, 2025
Revamped the codebase of a load testing application, improving application stability and reducing error rates by 25% across software integrations. Resolved over 80 customer issues and introduced innovative frontend and API features, increasing customer satisfaction by 95%. Engineered a responsive single-page application using Angular, cutting page load time by 50%. Developed robust RESTful APIs for the load testing tool, enhancing data exchange efficiency by 55% and enabling seamless integration with third-party services. Executed simulations of peak traffic scenarios across five global AWS EC2 locations, improving application responsiveness by 40% while leveraging AWS S3 for strategic data storage and efficient caching optimization.

Education

Master's at Texas State University
January 1, 2022 - August 31, 2023

Qualifications

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Industry Experience

Education, Healthcare, Software & Internet, Professional Services