Resume

Education

B.Eng. in Safety Engineering, Capital University of Economics and Business, 2012
M.S. in Environmental Management, National University of Singapore, 2020
G.Dip. in Computer Science, Concordia Universiyt, 2021
M.S. in Computer Science, Georgia Institute of Technology, 2023

Work experience

Apr 2024 - Current: Software Developer at Goldwater, Dubé
- Led the research to build internal legal assistant for associate and senior partner, based on GPT-2 and GPT-4 API.
- Established the QA team for Test-driven development and mentored the intern to build the software team step by step.
- Developed the CRM for Saas service, by using Laravel, Vue.js, and JSON API, specifically involving with Laravel JSON API, Nova, and Laravel Application development.
- Developed the iOS Application plan for further expansion.
June 2023 - Apr 2024: Software Developer in Testing (FQA Tester) at Keywords Studios
- Led user-case specific testing projects, effectively identifying and documenting bugs, and proposing actionable solutions for efficient bug resolution.
- Specialized in VR Game and PC Game project, running real-time testing and headless testing
- Utilized a variety of tools, including Microsoft Software Set, SharePoint development, TestRail, and Jira, to streamline daily operations and enhance productivity.
- Completed weekly and monthly reports for clients, providing detailed updates on project progress, and suggesting next-step improvements to ensure continuous project development and client satisfaction.
May 2023 - December 2023: Graduate Teaching Assistant at Georgia Institute of Technology
- Provided instructional support, enhancing student comprehension and performance.
- Led homework oversight, ensuring clarity in instructions and providing solutions to students’ homework-related challenges, thereby facilitating seamless assignment completion.
- Guided students in their machine learning projects, troubleshooting and providing solutions to problems faced, resulting in successful project execution and deeper understanding of machine learning concepts.
January 2022 - December 2023: Graduate Research Assistant at Georgia Institute of Technology
- Developed an Python algorithm based on randomly factors to generate synthetic clustering datasets for model training and validation, enabling accurate model evaluation.
- Implemented the model using PyTorch and designed it based on Graph Neural Networks (GNN).
- Conducted comparative analysis with popular clustering algorithms (K-means, DBSCAN, and GMM), demonstrating superior performance of the pre-trained model.