Indrakumarreddy Yasa
ad5eky@r.postjobfree.com +1-520-***-**** Austin, Tx
https://www.linkedin.com/in/indra-reddy/ https://github.com/indrakumarreddyyasa Education
Arizona State University Aug 2021 – May 2023
Master of Science in Computer Engineering Tempe, AZ, USA Chaitanya Bharathi Institute of Technology Aug 2016 – Sep 2020 Bachelor of Engineering in Electrical and Electronics Engineering Hyderabad, TS, India Skills
Programming Languages: Python, C#, Java, JavaScript, Typescript Database: SQL, NoSQL, Mongodb, Oracle
Cloud: Amazon Web Services (AWS), Azure
Tools and Technologies: VS Code, WPF, Visual Studio, Android Studio, Docker, Kubernetes, API (REST and SOAP),
.NET core, .NET framework, ASP.NET, GIT, Jira, Angular, React, Selenium, Postman, Figma Work Experience
Software Developer Sep 2021 – Present
Arizona State University Remote, USA
• Followed SCRUM-based AGILE development methodology, which included planning, development, active participa- tion in sprint meetings, and engaging demonstrations
• Implemented enhancements using C#, ASP.NET Core, MVC, Angular, SQL, and JavaScript, achieving a 20% reduction in application downtime
• Crafted the front-end UI using Angular, React, Bootstrap, Typescript, JavaScript, CSS3, and HTML5
• Designed RESTful API services using C#.Net and Web API 2 and tested them with Postman and Fiddler tools
• Performed unit testing using NUnit, Postman, and user acceptance testing with Selenium, validating website func- tionality and performance
• Executed continuous integration process (CI/CD) with GitHub actions, automating 40% of the build and deployment process
• Managed the deployment process across DEV, UAT, and production, automating it with PowerShell and Python 3
• Deployed ASU applications in the AWS Cloud, working with primary AWS services like EC2, S3, Lambda, etc
• Troubleshot production bugs and issues, provided resolutions based on priority, and performed application mainte- nance
Software Engineering Intern Oct 2020 – Aug 2021
Raam Group Hyderabad, India
• Developed 5 client/server modules using C#.NET, ASP.NET, and SQL Server to automate the entire application sales process and tested interaction with .NET Core microservices
• Created user interface forms using ASP.NET
• Formulated tables, stored procedures, and functions in SQL Server
• Deployed 3 applications in Azure Cloud using Redis and Node.js, ensuring authentication and authorization measures enforced for security
Projects
Digit Recognition Java, Python, OpenCV, SKlearn, TensorFlow, Keras
• Built a mobile application utilizing Java 18 and Python 3 in Android Studio for real-time digit recognition
• Applied mobile offloading techniques for improvement in app performance and a 15% increase in user experience
• Assessed the model’s performance using the F1 score metric and achieved an accuracy rate of 85%, demonstrating robust recognition capabilities
Disease Prediction Python, Pandas, SKlearn, Graphviz
• Constructed a decision tree algorithm for disease prediction with 89% accuracy
• Employed cross-validation techniques to evaluate the robustness of decision tree models, achieving a 10% reduction in overfitting
• Conducted data analysis and used neural networks for feature engineering, identifying disease risk factors with 89% accuracy