James B. Qin 2141 S. Finley Road, Lombard, IL 60148 jbq428@gmail.com | (408) 828-7326 EDUCATION The Ohio State University, Columbus, OH Graduated: May 2021 • B.S. Computer Science and Engineering • Key courses: Software Development & Design; Software Engineering; Data Structures & Algorithms; Programming & Computer Organization; Operating Systems; Artificial Intelligence Basic Techniques; Design, Development & Documentation of Interactive Systems Valley Christian High School, San Jose, CA TECHNICAL SKILLS Programming Languages: • Java, Python, C/C#, Javascript, Typescript, HTML, CSS Cloud-Based Technologies: • Azure DevOps Server, AWS August 2013 – May 2017 Tools: • Microsoft Visual Studio, Swagger, Postman, Splunk, Visual Studio Code, Git Database Management: • SQL Server, Oracle, MySQL WORK EXPERIENCE Progressive Insurance Corporation June 2021 – Present • Work on development and maintenance of core company applications on Claims Management Team • Produce and manage multiple ASP .Net Core Web Applications, designed to keep track of insurance transactions, claims, and user data • Develop various APIs and Adapters used by company web-based systems • Utilize C#, SQL Server, DB2, and .Net to create improved company projects and solutions Progressive Insurance Corporation (Internship) May 2020 – August 2020 • Developed and maintained core company applications on Agent Services Team • Applied my knowledge of OOP, testing, and C# in a corporate environment • Participated in SCRUM team framework, work ethics, and company coding and review processes XScaler Technology Ltd. (Internship) May 2019 – July 2019 Experienced program development life cycle (PDLC) and implemented components to multiple modules • in AI Tasked with installing and regulating software on different server environments • Worked with the OpenCV image processing library, Python, and various libraries • Created a Fog Detection Algorithm with a self-written Histogram of Oriented Gradients feature descriptor • PROJECTS Haar Cascade .xml File for Machine Learning • Created a Computer vision Haar Cascade object detection file to find and identify basketballs in videos • Provided Haar Cascade classifier with thousands of positive & negative images for increased reliability • Trained the classifier with the Haartraining utility and tested with Performance utility REST Adapter Web API • Designed and implemented an Adapter Web API that mapped multiple endpoints to Swagger page • Configured to utilize HTTP methods, OAuth token-based authentication, Unit/E2E testing and more
