About

Jasmine Deng is a highly skilled software engineer with a passion for utilizing deep learning and robotics to solve real-world problems. Currently working full-time at Covariant.ai, she has gained extensive experience in software engineering, search, AI, deep learning, UI, AngularJS, and research science. With 3.86 years of relevant experience, Jasmine has a proven track record in delivering exceptional results. Jasmine began her career as a software engineering intern at Google, where she developed the TFX Pipeline to provide search suggestions for an internal tool that searches error logs. She also configured the pipeline for production and release and edited the UI of the internal tool using Angular 1 to provide search suggestions for multiple types of error log search. In her second internship at Google, Jasmine worked on the next version of Adwords, extending Audience and Remarketing Reach card functionalities. She utilized Java for back-end querying and Dart with Angular 2 for front-end UI components and testing. Jasmine also created unit and integration tests using JUnit and Java/C++/text, populating the test database with mock data. Jasmine holds a Bachelor of Arts degree in Computer Science from the University of California, Berkeley, where she graduated in 2019. During her time at the university, she gained valuable experience in various fields of study, including computer science, which has helped her excel in her career. Jasmine is a highly motivated individual who is committed to delivering exceptional results. She has a strong focus on problem-solving and is always looking for new and innovative ways to tackle complex challenges. With her extensive experience and strong technical skills, Jasmine is a valuable asset to any organization.