About

Fnu Shivangi is a highly motivated software engineer with 6.44 years of experience in the industry. She is currently working as a Member of Technical Staff (Software Engineer 2) at Salesforce, where she is responsible for implementing Azure web jobs and end-to-end service integration between internal and external learning tools that Microsoft supports. She is also designing and developing microservices for the internal learning platform to provide a faster and reliable knowledge sharing platform. Additionally, Fnu is automating issue reporting and test systems to reduce response time and performing testing and deployment through Azure portal services. Prior to joining Salesforce, Fnu worked as a Software Engineer 2 at Microsoft, where she worked on multiplatform touch applications (SaaS) in React with middleware in Ruby for data normalization, sorting, and accessing Java services. She also reinforced a mechanism for nightly batch processing of dynamic data and store it in a cloud database, implemented REST-based services in the backend, and designed frontend applications in JavaScript with Jasmine unit testing. Fnu has also worked as an Associate Senior Software Engineer at Cerner, where she developed Java applications with EJS on the service layer with CCL backend support and JavaScript with AngularJS for the frontend. She wrote unit tests with minimum 95% coverage using Jasmine and JUnit. Fnu has a Master of Science (MS) in Computer Science from Rochester Institute of Technology and a Bachelor of Technology (B.Tech.) in Computer Science from Guru Jambheshwar University. She also completed her high school education from Bhiwani Public School. Fnu's technical expertise includes software engineering, Salesforce, test, Azure, microservices, integration, normalization, Ruby, Java, JavaScript, frontend, backend, Redux, UI, and AngularJS. She is a software developer who is motivated to analyze and solve complicated algorithmic problems in simple ways. Fnu is passionate about designing and developing solutions that are efficient and effective.