About Me [📌 This site is deprecated]

Hi! I'm a graduate student based in Chicago, IL, currently pursuing Master of Science in Computer Science at the University of Chicago.

With a focus on Full Stack Development, including both Web and Mobile Applications, I strive to create innovative and impactful software solutions. You can see some of my work by browsing my applications available on AppStore  and here. In my free time, I write blogs and I am also a technical writer for @BetterProgramming, @JavaScriptInPlainEnglish and @BitsAndPieces on Medium . Besides coding, I'm a 3000m steeplechaser in my college varsity Track and Field team. Recently, I'm learning Spanish and training Muay Thai at Chicago Aiki Training Hall, which I find both challenging and rewarding.

Latest Project

NutriCado: Food Scanner

iOS application

MonsterDex: The Ultimate Pokemon Guide

iOS application

Genomics Analysis Service

Cloud computing application

Experience

Lumentum

Software Engineer Intern | Oct 2021 - Feb 2022 | Taipei, Taiwan

Built an AWS Single-Sign On (SSO) authentication tool from scratch using C# and AWS SDK, resulting in an 8x improvement in performance and a 71% reduction in memory usage.
Assisted in the development of Diode Laser Manufacturing’s RESTful API to improve performance and scalability using .NET and Swagger.
Collaborated with software engineers and data architects to benchmark and document 2 internal tools.

C# .NET .NET Core AWS ShellScripting

Logitech

Data Science Intern | Jul 2021 - Sep 2021 | Hsinchu, Taiwan

Designed 2 A/B tests and implemented the Analytic Hierarchy Process (AHP) algorithm using Python to quantify gaming headset datasets, including ergonomic, acoustic, and mechanical specifications.
Collaborated with the UI/UX team to optimize gaming market experiments through multivariate testing and observational studies using Python and Tableau.
Conducted a cross-sectional survey research study involving 50+ participants, collecting over 1,000 data points on gaming headsets and their features.

Python R Tableau

DuPont

Engineering Co-op | Jul 2020 - Aug 2020 | Hsinchu, Taiwan

Collaborated with IT architects and QA engineers to optimize the manufacturing process of semiconductor polyimide films using Python, FlexSim, and Minitab.
Developed a simulation model of the manufacturing process using FlexSim to identify bottlenecks and improve production efficiency.
Analyzed and visualized data using Python and Minitab to identify the root cause of defects and improve product quality.

Python FlexSim Minitab

Advanced Optoelectronic Technology

Data Science Intern | Part-time | Oct 2019 - Jun 2020 | Hsinchu, Taiwan

Conducted research in AOT's high-end LED chip field and redesigned the packaging process of its optic components.
Utilized Python and R to analyze and visualize data, providing actionable insights to the engineering team.
Implemented Taguchi Method Algorithm to optimize LED chips' data collection process, resulting in a 10% increase in production efficiency.

Python R Minitab