Anusha Nemilidinne

• I contribute to the development and maintenance of a web application serving approximately 67,000 users across various teams. This vital, last-resort tool requires exceptional availability, reliability, and ongoing enhancements to meet its critical demands.
• I collaborate with cross-functional teams to implement front-end features, optimize performance, and maintain high standards of code quality. Additionally, I troubleshoot and resolve UI-related issues, ensure cross-browser compatibility, and integrate APIs and back-end services to support the application’s functionality.
• I actively contribute to its evolution by incorporating user feedback and leveraging modern front-end technologies.
• I co-led an initiative to eliminate technical debt in the application, originally developed with a mix of outdated frameworks and libraries, by refactoring it to leverage modern frameworks and build tools, enhancing its maintainability and scalability.

Front-End Developer with experience collaborating with Prime Finance Quantitative Research and Equity Finance Trading teams to build intuitive UI applications within Athena, a risk, pricing, and trading platform. Skilled in full-stack development using React.js, Redux, TypeScript, Python/Bottle for REST APIs, and libraries like Highcharts, AG-Grid, and Lodash, I ensured robust solutions with testing frameworks such as React Testing Library, Enzyme, and Python WebTest. I delivered scalable, high-performance financial tools that provided valuable insights for internal users and external clients.

Full-Stack Developer skilled in designing responsive, user-friendly web pages using React, TypeScript, Node.js, Redux, and Material UI, while developing RESTful APIs with C# and .NET WebAPI. I modernized a legacy accounting application, boosting utilization from 27% to 87% during the pandemic by enhancing mobile responsiveness and remote access, reducing paperwork, errors, and improving efficiency. I also created database-driven UI components and reusable React components, published to NPM for scalability and future use.

Software Developer at Infosys, where I built Python automation scripts using Sikuli RPA’s image recognition to streamline ITSM tasks, deployed on the Infosys Automation Platform, reducing client effort by 1.5 FTE and earning the Best Debutante award. I developed Java and Shell scripts to enhance Infosys Nia’s ML-driven automation of business and IT processes, and created a Java-based web application with Spring MVC to track FTE reductions across clients, boosting operational efficiency.