Jongsun Suh

Jongsun Suh has a diverse work experience in different roles and industries. In 2022, Jongsun worked as a Software Engineer at Tandem, where they focused on recreating the collaborative experience of in-person communication through the Tandem Chat app. They collaborated with cross-functional teams, including product, marketing, design, and QA, to meet project requirements and enhance user engagement. Jongsun extended and refactored service classes and Zustand stores to improve application and domain layer functionality.

Prior to Tandem, Jongsun was a Software Engineer at Swell in 2021. They developed a desktop testing client for streaming protocols and APIs. Jongsun utilized the WebRTC API provided by Electron's Chromium renderer process to create a testing module for WebRTC signaling, including tasks such as ICE, STUN servers, candidate discovery, and SDP message parsing. They also deployed a TURN server instance using Docker Compose for relaying peer connections over firewalls and complex NAT topologies.

In 2020, Jongsun worked as an Undergraduate Researcher at Seoul National University. They conducted research on modeling volatility and risk spillover between the financial markets of the US and China. Jongsun used various Python libraries such as NumPy, Pandas, Statsmodels, and SciPy to process and analyze large volumes of asset price time series data. They employed ARIMA-GARCH(1,1) models for Value-at-Risk forecasting and utilized data visualization tools like Seaborn and Matplotlib for analysis and forecasting presentations.

Overall, Jongsun Suh has demonstrated a strong technical background with experience in software engineering, financial analysis, and research.

Jongsun Suh has a Bachelor of Arts degree in Economics from Seoul National University. Prior to that, the education history provided does not mention any specific start or end years, but Jongsun Suh attended Daewon Foreign Language High School.