Built a full-stack learning management platform for students, instructors, and administrators using Next.js 14 (App Router), React, TypeScript for the frontend and Django with Django REST Framework, integrating course management, assignment submission, learning progress tracking, and certificate workflows into one system, supporting 200+ active users and improving platform workflow efficiency by 30%. Implemented authentication and role-based access control using NextAuth.js with JWT, enabling secure access for students, instructors, and administrators and strengthening platform security. Designed and implemented RESTful APIs using Django REST Framework and integrated frontend requests with Axios, enabling automated course enrollment and assignment workflows while improving task completion efficiency by 40%. Designed a relational database schema using PostgreSQL to manage users, courses, assignments, and learning records, improving query performance and ensuring data consistency. Styled

Software Engineer at Monash University

April 1, 2025 - May 1, 2025

Built a campaign management platform for media buying teams using React, TypeScript, and ASP.NET Core Web API, enabling campaign creation, tracking, budget management, and performance analytics dashboards to improve campaign management efficiency by 35%. Designed RESTful APIs using ASP.NET Core Web API with Swagger/OpenAPI to support campaign creation, tracking, and reporting workflows. Implemented relational database models using PostgreSQL and Entity Framework Core, modelling campaigns, ad creatives, budgets, and performance metrics. Deployed backend services using Microsoft Azure Web Apps, enabling scalable cloud infrastructure for campaign data processing. Implemented automated testing using xUnit and Moq and integrated GitHub Actions CI/CD to improve deployment reliability.

Data Analyst at Bank of China

January 1, 2020 - January 1, 2022

Built automated financial dashboards using Power BI, SQL, and Python, enabling real-time reporting and reducing manual reporting workload by 35%. Developed data transformation pipelines using SQL and Python, improving data accuracy and reducing processing errors by 30%. Designed relational queries and reporting workflows to support financial analytics and improve reporting clarity by 20%. Supported financial forecasting and risk analysis by identifying trends and anomalies in banking datasets. Streamlined recurring reporting workflows, reducing report generation time from hours to minutes and improving analytical productivity.