I'm PhD candicate with 5 years+ full-stack software engineer experience. My research interests are graphic neural networks(GNN), urban informatics, imitation learning, spatial-temporal data mining, and uncertainty analysis.
I'm looking for Summer Internship 2025.
As a research assistant, I conducted independent research on previous related work and validated findings using Python simulations. My research specialized in imitation learning, spatio-temporal data mining, graph neural networks, and multitask learning.
As a software engineer in a small team, I manage and enhance applications, optimize performance, provide production support, implement security-finding remedies, support cloud migration efforts, and engage with clients and customers to ensure their needs are met and solutions are effectively implemented..
As an end-to-end full-stack software engineer in a finance team, I collaborated with customers to design and develop software solutions. I supported the business with quantitative research, data, reporting, and analytics tools. I took full responsibility for choosing technologies and methodologies that meet client needs, are cost-efficient, and enhance the development cycle.
I led a team in collecting and ensuring the quality of large daily datasets and delivering weekly KPI reports to clients. I improved efficiency and accuracy by customizing data processes using GWS tools, VB macros, Java, and scripts. I designed SQL queries for complex data extraction from MS SQL databases. Additionally, I developed Java programs to automate manual tasks, significantly reducing manual work time.