Rishinya Chowdary Ravipati

• Pioneered the development of a centralized logging framework within a common library, extensively utilized across all microservices within the Time product in the first 30 days of employment.
• Optimized log creation and efficiency by crafting a customized logback-spring.xml configuration, seamlessly integrating Log4j and Spring Boot.
• Actively enhancing the TLMI (Time and Labour Management Interface) application for Vantage clients, incorporating .NET and Java based on client-suggested enhancements.
• Played a key role in cross-functional teams, steering the software development life cycle from requirements analysis to deployment. Actively participated in code reviews and documented technical specifications.
• Created a full-stack I9 web application using Angular, Spring Boot, and MySQL, gaining a holistic understanding of end-to-end application development as part of initial training program.
• Configured AWS infrastructure, utilizing EC2 and S3, to support the development and deployment of the cloud-based Workforce Manager application, a key element of the latest HCM Time Solution.
• Cultivated expertise in a diverse tech stack, including Oracle MySQL Database, Jenkins for CI/CD pipelines, Git CLI, and Bitbucket for robust source control, Confluence for streamlined technical design documentation based on functional requirements, Swagger for meticulous API documentation, and adept use of REST API for seamless API creation.

• Contributed to the Brainforge neuroscience project, a cloud-enabled web-based analysis platform for neuroimaging research.
• Developed new features, including a web interface for scan archiving, workflow automation, data analysis, and result sharing among researchers.
• Utilized React hooks, axios, React thunk, Ant design, React router, babel, webpack, npm, CSS, HTML5 and Bootstrap to build features within the application.
• Implemented functionality using the Pybids library to identify BIDS data and map it to the appropriate image in the database.
• Recognized as the Best Graduate Contributor for 2022, highlighting exceptional contributions to the Brainforge neuroscience project.

3 / 3

• Implemented pivotal risk analysis feature in a prospect experience portal using Angular JS, Apollo-angular, GraphQL, Springboot, Java, MongoDB, and Axon Server.
• Played a key role in boosting PEO sales growth by significantly enhancing the prospect journey with the integrated feature.
• Demonstrated agile expertise through active participation in SDLC and agile ceremonies, providing accurate estimates using story points in Jira.

• Worked on 'Freddy AI' product, which is an AI assistant for automating support, boosting productivity and tracking performance where you can simply ask Freddy to create chatbots, set up automations and many more.
• Created new features, functionalities, and capabilities in Freddy AI project using React JS, Redux and CSS.
• Performed 60+ bug fixes which reduced technical debt by 27% within 2 months.
• Worked as a on call support for L2 and L4(high priority) bugs for clients such as Phonepe and Paytm.
• Improved code efficiency by 92% through Jest and Enzyme test case implementation.
• Debugged and troubleshooted issues using Chrome and React developer tools.

• Developed a full-stack web application for a Bookmark application using React JS and Spring Boot (REST APIs).
• Engaged in weekly tech team meetings, actively contributing to discussions on future project development and strategies.
• Enhanced browser compatibility and mobile responsiveness of Freddy AI chatbot codes, improving the overall user experience.