.Net Core Developer

Karthik Majjiga

Full Stack .Net Developer

+1-940-***-**** *******.*********@*****.*** LinkedIn Professional Summary

• Full Stack Developer with over 3+ years of experience in designing and building scalable web applications using .NET Core, ASP.NET MVC, and Java, ensuring robust architecture and performance.

• Skilled in implementing and modifying complex, deeply nested SQL Server stored procedures and embedded business logic for enterprise applications.

• Experienced in building secure authentication and authorization systems using Microsoft Identity within .NET Core frameworks.

• Proficient in responsive UI development with React.js, Angular, TypeScript, and Bootstrap, integrated with RESTful APIs and Entity Framework Core.

• Proven ability to manage cloud-native development using Azure and AWS, applying DevOps best practices including CI/CD pipelines, Docker, and Kubernetes. Skills

Programming Languages: C#, Java, Python, JavaScript, TypeScript, HTML, CSS, SQL (T-SQL, PL/SQL) Frameworks/Libraries: .NET Core, ASP.NET MVC, ASP.NET Web API, WCF, Entity Framework Core, Microsoft Identity, Spring Boot, jQuery, AJAX, LINQ, React.js, Angular, Redux, Bootstrap Architecture & Patterns: Microservices, Distributed Systems, SOA, Design Patterns, Clean Architecture, Data Structures & Algorithms

Cloud & DevOps: Azure (Functions, App Services, DevOps), AWS (Lambda, S3, EC2), Jenkins, CI/CD, Docker, Kubernetes

Databases: SQL Server (complex stored procedures), MongoDB, Redis, PostgreSQL Testing & Quality: NUnit, xUnit, Selenium

Tools: Visual Studio, IntelliJ IDEA, Postman, Swagger, Git, GitHub, Bitbucket, JIRA, Confluence Operating Systems: Windows, Linux, UNIX

Soft Skills: Leadership, Code reviews, Agile collaboration Work Experience

Freddie Mac, Dallas, Texas

Full Stack Developer February 2024 – May 2025

• Designed and developed RESTful APIs using .NET Core for enterprise servicing systems, modernizing legacy logic to support cloud-native deployment and improving integration between internal and third-party appli- cations.

• Architected a microservices-based platform for user authentication and financial data, boosting application scalability by 40% and reducing deployment times by 25%.

• Optimized application performance through strategic implementation of caching mechanisms, lazy loading, and SQL tuning using Entity Framework Core and SQL Server, resulting in a 45% reduction in page load times and a 60% improvement in query response times.

• Created responsive user interfaces using React.js, Redux, and Bootstrap, leading to a 25% improvement in user engagement and application usability.

• Utilized GitHub for version control, peer code reviews, and team collaboration, reducing integration issues by 20% and improving overall development workflow efficiency.

• Implemented unit testing with NUnit and xUnit, reducing post-release defects by 25% and boosting code reliability.

• Automated build and deployment pipelines using Azure DevOps, decreasing deployment times by 15% and ensuring consistent delivery of software updates.

Seagate Technology,

Software Developer June 2020 – November 2022

• Developed enterprise web applications using ASP.NET MVC, C#, Angular, and Entity Framework, ensuring performance optimization and high reliability in production.

• Designed and implemented RESTful services to enable secure and efficient data exchange between systems, improving data accessibility and reducing processing delays.

• Created and deployed WCF services with carefully defined contracts and endpoints, achieving a 20% improve- ment in service response times and interoperability with other systems.

• Managed large-scale databases using MongoDB, implementing strategies to ensure data durability, high avail- ability, and reduced recovery times during system failures.

• Conducted code reviews to identify potential issues and enforce best practices, leading to a 15% increase in code quality and maintainability across multiple projects.

• Configured and maintained CI/CD pipelines using Jenkins and MSBuild, ensuring seamless integration and delivery of application builds, minimizing downtime during deployments. Education

University of North Texas, Denton, Texas

Master of Science in Information Technology January 2023 – May 2024 Vaagdevi Engineering College

Bachelor of Technology in Computer Science June 2018 – April 2022 Publications

• Heart Disease Prediction Using Machine Learning, International Journal of All Research Education and Scientific Methods (IJARESM), Vol. 10, Issue 6, June 2022. ISSN: 2455-6211. Impact Factor: 7.429.

Conducted comparative analysis of classifiers including Decision Tree, Na ıve Bayes, Logistic Regression, SVM, Random Forest, AdaBoost, and XGBoost for heart disease prediction. XGBoost achieved highest accuracy of 81%.

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