Dang Vo

Tech stack: HTML, CSS, JavaScript, React, Angular, WPF, C# Key Responsibilities: • Developing responsive and scalable web applications for clients in different industries in Vietnam. • Worked closely with clients to understand project requirements and deliver tailored frontend solutions. • Provided technical support and debugging to enhance application stability and user experience.

Tech stack: JavaScript, C#, C++ Key Achievements: • Presented successfully at 3 IEEE conferences (ISCSET 2023, AISM 2023, and ICCIMS 2024) by researching and creating educational applications using an adapted block-based coding approach. • Published a scientific paper at the IEEE ICCIMS 2024 Conference in Canada. Key Responsibilities: • Enhanced academic research outcomes by collaborating with cross-functional teams to implement innovative software solutions.

Tech stack: TypeScript, Angular, React, C#, .NET Key Responsibilities: • Developed web applications using Angular, TypeScript, C#, ASP.NET Core, and PostgreSQL. • Created desktop apps with Revit API, WPF, and C#. • Managed implementation, delivery, and maintenance of installation packages for desktop products. • Collaborated with Support and QA teams to resolve client issues during installation and usage.

Tech stack: C#, .NET, WPF Key Responsibilities: • Developed and tested desktop applications using Revit API, WPF, and C#, including code reviews. • Managed implementation, delivery, and maintenance of installation packages tailored to product requirements. • Collaborated with Support and QA teams to resolve client and user issues during installation and usage.

Tech stack: HTML5, CSS3, JavaScript Key Responsibilities: • Developed and implemented front-end web solutions using HTML5, CSS, and JavaScript, aligning with existing design specifications. • Collaborated closely with design teams to maintain design integrity throughout the development process.

• GPA: 1.5 (Very good) • Thesis title: ”Remote Interface for Heterogeneous Demonstrators with Dynamic Functions.” • Reduced task completion time by 67% and improved student learning in automotive and drone systems with a block-based web application.

• GPA: 7.84/10 (Good) • Thesis title: ”Using Genetic Algorithm to Solve High School Timetabling Problem.” • Cut timetable generation time by 98%, from 1 week to 22 minutes, for 70+ teachers and 1500+ students through a two-stage genetic algorithm system.