Howard Wang

Howard Wang's work experience begins in 2019 when they joined Vibely as a Software Engineer Intern. During this time, they contributed to the development of user-facing features for Vibely's mobile chat rooms. Howard worked with technologies such as React Native, Typescript, GraphQL, Node.js, Prisma, and AWS CloudSearch.

In 2020, Howard joined ServiceNow as an Associate Software Engineer. Here, they developed front-end unit tests for a new web product using Java and Selenium Web Driver. Howard also worked as a Software Engineer Intern on the Performance team, where they improved the developer experience for running automated Apache Jmeter tests by containerizing the server and reducing developer setup time.

At the University of California San Diego, Howard worked as a Research Assistant in 2020. Howard conducted machine learning research to determine the use of deep learning for image synthesis on large MRI data sets. Howard utilized TensorFlow to develop an algorithm that improved the latency of T2-mapping by 2x, with the goal of making the technology commercially available for faster tumor detection.

In 2019, Howard also served as a Project Manager for the IEEE Student Branch at UC San Diego. In this role, they managed software and hardware engineering student teams and coordinated networking events with industry representatives. Howard also developed a multi-functional applicant screening dashboard web app using HTML, Javascript, CSS, Django, Python, AWS RDS, and MySQL to process student applications.

Most recently, in 2022, Howard joined Kajabi as a Software Engineer. However, no specific details are provided about their responsibilities in this role.

Howard Wang received their Bachelor of Science degree in Computer Science from UC San Diego. Howard attended the university from 2017 to 2021.