| | | 20,000+ Fresh Resumes Monthly | |
|
|
| |
Click here or scroll down to respond to this candidateCandidate's Name
EMAIL AVAILABLE PHONE NUMBER AVAILABLE Austin, Txhttps://LINKEDIN LINK AVAILABLE https://github.com/Candidate's Name EducationArizona State University Aug Street Address May 2023Master 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 SkillsProgramming Languages: Python, C#, Java, JavaScript, Typescript Database: SQL, NoSQL, Mongodb, OracleCloud: Amazon Web Services (AWS), AzureTools 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 ExperienceSoftware Developer Sep 2021 PresentArizona 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- nanceSoftware Engineering Intern Oct 2020 Aug 2021Raam 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 securityProjectsDigit 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 models performance using the F1 score metric and achieved an accuracy rate of 85%, demonstrating robust recognition capabilitiesDisease 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 |
