• Developed scalable shared services for AWS Training & Certification using GQL, TypeScript, ReactJS, AWS

• Collaborated across three cross-functional teams to build and enhance applications that serve millions of global customers, improving system reliability and customer satisfaction metrics

• Optimized software processes and performance by implementing best practices in cloud-based development and contributing to the delivery of high-impact solutions for AWS Training and Certification ecosystem

• Leading and managing a team of eight executive board members to hold networking and recruiting events

• Innovating the direction of the organization and organizing events to create opportunities for students

• Promoting inclusive and diverse environment in CS and working with financing

Summary: Analyze and understand the differences between Native English Speakers (NES) and Non-Native English Speakers (NNES) in CS education in order to minimize the barriers faced by NNES.

Project #1:

• An Analysis of Stress and Sense of Belonging Among Native and Non-native English Speakers Learning Computer Science

(53rd ACM Technical Symposium on Computer Science Education (SIGCSE) 2022 (In Press)

* Currently performing research at the Computing Education Research (CER) Lab in a team of six members.

* Quantitative analysis of the experimental data of more than 1500 students in three computer science courses.

Project #2:

• A Qualitative Analysis of Lecture Videos and Student Feedback on Static Code Examples and Live Coding: A Case Study

23rd Australasian Computing Education Conference (ACE) 2021

* Collaborated with five team members to work on the project

* Video Analysis of introductory CS lectures of a US University and data compilation

* Survey Analysis of the weekly surveys to demonstrate the qualities of different lecture styles