Jayanthi Ganesan

Evaluated AI-generated React applications using detailed usability, performance, and design rubrics, providing feedback on UI/UX aspects such as layout, responsiveness, accessibility, color theory, and motion. Contributed to refining evaluation workflows and improving model training datasets. Collaborated with global team to assess and improve LLM-generated web interfaces.

Resolved 10 critical defects in a legacy codebase, ensuring seamless performance across multiple browsers, which improved cross-browser compatibility and enhanced overall user experience. Designed reusable React components to modernize to replace legacy code, enhancing UI functionality, maintainability, and performance. Planned and strategized the migration of legacy code to a modern React-based UI, improving maintainability, scalability, and overall performance.

Involved in developing front end applications for the Medical Portal for doctors to interpret the patients data into insightful accurate information. Created features in the existing Application for the medical portal using front end technologies like JavaScript, Angular, CSS, HTML5. Involved in MVP global commerce application to recommend supplements to the patients using technologies like JavaScript, ReactJS, CSS, HTML5. Involved in designing, planning, estimating for the features for the doctors to get more insight of the patients medical information. Trained the team to adopt new methodology with feature toggles to enable branching release and deployment cycle. Involved in continuous team learning and collaboration methods.

Involved in developing front end applications for the Medical Portal for doctors to interpret the patients data into insightful accurate information. Created features in the existing Application for the medical portal using front end technologies like JavaScript, Angular, CSS, HTML5. Involved in MVP global commerce application to recommend supplements to the patients using technologies like JavaScript, ReactJS, CSS, HTML5.

Involved in developing MVP applications for the Resiliency management projects. Created MVP Application for the resiliency management using front end technologies like JavaScript, Angular, CSS, HTML5. Involved in the planning, estimation and implementation of MVP using frameworks like Angular. Involved in designing API endpoints and consuming using angular services. Data modelling for the application, using DDL and DML for SQL server. Add/Update test cases using jest.

Involved in developing Front End applications for the Data Science innovation projects. Created Proof of Concept Application for the innovative chat bot application using front end technologies like JavaScript, jQuery, CSS, HTML5. Involved in the planning, estimation and implementation of front-end application for a Data science Application using framework like Angular, Material UI. Exposure to AWS services like Cloud9, DynamoDB, CodeCommit. Exposure to AWS lambda function to create endpoints and consume it in the Client Application. Fix defects related to browser specific and device specific.

Involved in developing components in React to be used by customers to experience efficient and easy methods of buying the cars. Customer experience is the key priority in designing the application which includes automobile options of comparing KBB value and trade in the used car. Created new feature credit application soft pull, enabling customers to get their credit score using JavaScript, TypeScript, and ReactJS components. Created 2 themes, using CSS, SCSS and supported about 30 themes for different dealers. Created reusable components to be used in internal library ui-bricks using ReactJS. Fix defects related to browser specific, and unit tests using JavaScript testing library. Exposure to AWS lambda function to create endpoints and AWS Alexa, to purchase cars by voice-first business strategy.