Rohith Kumar Boddu
919-***-**** ****************@*****.*** LinkedIn
EDUCATION
University of Texas at Arlington, TX, USA Expected May 2023 Master of Science in Computer Engineering
Jawaharlal Nehru Technological University, Hyderabad, TS, India May 2018 Bachelor’s of Electronics and Communication Engineering EXPERIENCE
Software Engineer - I NCR, Hyderabad, TS, India July 2018 - Jan 2022
• Architected 3 tiered solutions to distribute web and desktop applications, leveraging C# and .NET Framework technologies, elevating user security by 68% and constructed MVC models and wrote XML contracts in order to facilitate secure communication between client and server solutions, escalating speed of deployment by 43%.
• Formulated MVVM & WPF supported solutions for development of desktop applications, enabling improved workflow automation with a 66% decrease in manual tasks.
• Migrated NHibernate version to 5.1, allowing stable database connection with Entity framework and data transfer efficiency between client & server through RabbitMQ, resulting in reduced latency by 20%.
• Translated C# .NET MVC codebase to layered architecture leveraging .NET Core 3.1 creating Rest API’s & React JS with Typescript, Hooks & Redux and utilised Axios to access data from API.
• Coordinated tasks between the Testing and Operations units to implement CI/CD operations and to identify and resolve issues quickly, abating risk of unwanted downtime by 40%.
• Single-handedly migrated an Angular codebase from version 9 to version 12, resulting in enhanced security, better compatibility and increasing the overall performance by 20%.
• Developed and deployed multiple RESTful APIs utilizing Spring Boot framework and JAVA, interacting with the Angular application resulting in a 20% increase in application performance and reducing API response time by 50%.
• Developed CodedUI testing automation framework leveraging Selenium Web Driver plugins to build an Integration testing framework including desktop (POS), web (back office) and server solutions, improving reliability of product by 30%
• Architected automation framework to perform functional testing of software modules of a React Application using Cypress reducing manual effort by 75%.
• Worked as a Scrum Master for two Scrum teams facilitating PI planning, sprint planning and retrospect meetings following Agile methodologies leading to an average of 90% completion of planned features and a 15% increase in team velocity. SKILLS
• Programming & Scripting Languages: C#, Java, Python, TypeScript, JavaScript, PHP
• Web Technologies: HTML, CSS, SQL, React, Angular, RESTful-API, Node, JSON, Databases (SQL Server, MySQL, Mongo DB),
.NET MVC, .NET Core, Spring, Entity Framework, Design Patterns, REST API’s
• Cloud: GCP (Compute, App, Kubernetes Engines, Cloud SQL, API Gateway), Azure, Docker
• Tools: Visual Studio 2022, 19, 17, 15, 13, VS Code, XAMPP, Postman, JIRA, Confluence, JFrog
• Version Controls: Git, TFS, Azure DevOps, Bitbucket
• Courses: Algorithms and Data Structures, Data Analytics and Modelling Techniques, Parallel Processing, Database Systems, Wed Data Management, Software Design Patterns, Cloud Computing, Artificial Intelligence, Machine Learning ACADEMIC PROJECTS
Returns Fraud Detection [NCR Global Hackathon ‘19] Python, RFM Analysis, K-Means, React, C#, HTML, CSS
• Built a robust and scalable application to analyse large volumes of consumer data and provide insights into customer behaviour and return patterns to identify potential exploiters.
• Used Python programming along with Data processing and visualization libraries such as pandas, scikit-learn and matplotlib and employed K-means Clustering to calculate RFM scores. Information Retrieval and Maintenance of Land and Project Details of a Family [MS Project] React, MySQL, Typescript, PHP, Node, Web API, HTML, CSS, Google Cloud Platform/GCP [App Engine, Cloud SQL, API Gateway, BigQuery]
• Developed a single page web application to store, view and modify information related assets and hereditary of a family for which front-end is built on React using Typescript and backend is implemented as a server-less API solution on Laravel Framework using PHP & Node and used PhpMyAdmin for managing SQL Databases.
• Deployed the front end and backend on a Google Cloud App-Engine using Cloud SQL for data storage and establishing connection using API Gateway. Employed BigQuery API for querying large datasets. Biometrics-based Electronics Voting System [UG Project] Linux, ARM, Raspberry-Pi, C++
• Developed a working module of a typical voting system at a polling booth with central access and eliminating the need of carrying a voter ID card using a fingerprint for authentication on Linux using a Raspberry-Pi board based on ARM architecture and programmed using C++.