Chandrasekhar Reddy Gummadi

About Chandrasekhar Reddy Gummadi

Chandrasekhar Reddy Gummadi is an experienced Software Developer specializing in web and enterprise application development using C#, ASP.Net, Angular, ReactJS, and.NET Core. He has a proven track record of optimizing database performance and deploying scalable applications on AWS and GCP, significantly enhancing system performance and user engagement. At Perficientcorp, he developed a customer management system that increased user engagement by 25%, while at Accenture, he designed enterprise applications for Intel that maintained 99.9% system reliability. Chandrasekhar is skilled in implementing responsive design, dynamic content loading, and containerization with Docker, leading to efficient deployment processes and reduced errors. His technical expertise spans a range of technologies, including MySQL, SQL Server, MongoDB, and cloud services like AWS and GCP, supported by methodologies such as Agile and Waterfall. He holds an MS in Computer Science from the University of Mississippi and a B.Tech in Computer Science and Engineering from Lovely Professional University.

Experience

1. Software Developer

   Perficientcorp Inc

   Feb 2024 — Present · NC, US

   Developed a customer management system using ASP.Net and Angular, enhancing user experience by implementing AJAX and jQuery for dynamic content loading, and Bootstrap for responsive design, resulting in a 25% increase in user engagement• Optimized MySQL databases for a healthcare application, improving data retrieval times by 40% and ensuring data integrity across user sessions by implementing advanced indexing and partitioning techniques.• Deployed web applications on AWS, utilizing EC2 for scalable computing resources and S3 for secure data storage, achieving 99.9% uptime and reducing operational costs by 20% through efficient resource allocation.• Implemented Docker for containerizing applications, streamlining the development and deployment process by 50% and ensuring consistent environments across different stages of the SDLC, leading to a 30% reduction in deployment errors.

Education

• Lovely Professional University

  Bachelor's degree

  2017 — 2021

• The University of Southern Mississippi

  Master's degree

  2022 — 2023