Software Engineer in Server-side SDK team.

Vision Automation Team• Created an end-to-end group system page to organize thousands of inspections, display real-time inspection results, and conveniently query vehicle identification numbers in order to support technicians to prevent production quality defects.• Utilized successive pagination calls of Label Studio API to optimally summarize more than 5,000 tasks on average for each model.• Refactored outdated codes to more maintainable front-end components by following strict type definition and tailwind guidelines.

• Developed a Python web-scraping script using Selenium that compares over 10,000 unique identification numbers in billing statements and post qualification system reports to ensure that the data is up to date with customer status.• Built a Python script that translates over 1,000 selectivity texts into SQL and utilize PyAutoGUI to automate the execution of the queries in DBeaver and display the result onto a GUI.

• Taught materials to 50+ WashU students for course CSE 247 Data Structures & Algorithms where I helped students with asymptotic analysis, sorting algorithms, optimal pathways, hash tables, queues, and other data structures.

• Contributed in developing productivity management web service using NextJS and Amazon Web Service (AWS) where targeted users (sober living house owners) are able to efficiently manage their residents by storing and retrieving data in user-friendly manner.• Specifically managed onboarding for first-time users by adapting external JS library to create a user-interactive tutorial, resulting in a reduction of users who previously experienced difficulty starting the service.

• Developed the landing page of the W-Block student organization page utilizing ReactJS.• Collaborated in a cross-functional team environment involving business and design teams.

• Developed a full stack software monitoring service that incorporates real time video communication between users and robots using WebRTC and Kurento media server. Utilized NodeJS to connect the server and employed SocketIO for communication between users in the video rooms that the user can manually generate.

• Analyzed the quality of the ODAS respeaker microphones and developed a Python script that calculates the Direction of Arrival (DOA) and Voice Activity Detection (VAD) for non-ODAS microphones. Developed a software through Javascript that presents the data collected through the microphone.

• Taught materials to 30+ WashU students for course CSE 132 Introduction to Computer Engineering where I helped students with C program, delta-timing, and machine-level coding.