Software Developer

• May 2023 - Present

Application Developer I

• May 2022 - Apr 2023

• Working on various projects with a team focused on Agile principle and continuous deliver practices. • Developed policy center application on Guidewire cloud both backend and frontend with an emphasis on collaboration, continuous improvement, clean and testable code, unit testing and automation. • Utilized Gosu for application development, along with Java, Postgres SQL for database and write tests using Gunit (based on JUnit). • Worked on updating features (including both backend, frontend and ratebook) for Homeowner risk types for different jurisdictions as well as reworking entirely features for Seasonal risk for all jurisdictions for brokers’ usages. • Made numerous enhancements and bug fixes to the application to meet the product’s requirements. Show less

Academic Learning Center

• Apr 2022 - Apr 2023

Computer Science Grader

• Sep 2021 - Apr 2023

Comp1600: Navigating Your Digital WorldComp2080: Analysis of AlgorithmsComp2140: Data Structures and Algorithms

Teaching Assistant

• Sep 2021 - Apr 2023

Comp1010: Introductory to Computer ScienceComp1012: Computer Programming for Scientists and EngineersComp2160: Programming Practice

Research Assistant

• May 2021 - Aug 2021

@ Database and Data Mining Laboratory under Prof. Carson Leung • As a team of three, awarded the first prize in the nexus data science challenge presented by Bison transport using LSTM method and a greedy algorithm to balance the cumulative inbound, outbound freights. Developed using Python. • Analyzing various COVID-19 datasets, using Pandas and NumPy libraries to give an insight of the big picture about covid patient’s different conditions during covid time. • Build a neural network using auto-encoder and few shot learning technique to predict test result (binary) as well as hospitalization status (multi-class) on different datasets (Breast Cancer, Canadian covid symptoms and Brazilian blood test result). The auto-encoder offers improvement to the traditional learning models in terms of F1 score using our derived metric. Publication: - Carson K. Leung, Daniel Mai, Jase Tran: Health Analytics on Big COVID-19 Data - Carson K. Leung, Daniel Mai, Jase Tran: Deep Learning Based Multi-Label Prediction of Hospitalization for COVID-19 Cases - Carson K. Leung, Daniel Mai, Jase Tran, Christine Y. Zhang: Predictive Analytics to Support Health Informatics on COVID-19 Data. - Carson K. Leung, Daryl Fung, Daniel Mai, Jase Tran: A Digital Health System for Disease Analytics Show less