Kwanyong Damon Jo

Hi there! My name is Kwanyong (Damon), and I am a skilled software developer with experience in web development and data analytics. With a diploma in Computer Systems Technology from BCIT and a background in chemistry from Hankuk University of Foreign Studies in South Korea, I bring a unique blend of technical expertise and analytical thinking to the table.

As a web developer, I have worked on a variety of projects ranging from creating a healthcare web app to developing a data collection app sponsored by Sisa Energy. In my most recent position as a Web Developer Intern at Sisa Energy, I implemented Microsoft user authentication with MSAL and designed the UX/UI of a web app, among other responsibilities. I am proficient in JavaScript, HTML/CSS, Python, and Java, as well as database technologies like MongoDB and PostgreSQL.

Aside from my technical skills, I am passionate about creating products that solve real-world problems and enhance the user experience. I enjoy collaborating with UI/UX designers and other stakeholders to translate business and consumer requirements into functional products. I bring a positive attitude, strong work ethic, and eagerness to learn to every project I work on.

WEB DEVELOPER INTERN - SISA Energy

• Contributed to the development of a web application by successfully implementing Microsoft user authentication with MSAL to verify user information, enabling clients to log into the platform for the auditing process.
• Designed the UX/UI of the web application and created a prototype with Figma to provide user-

friendly web design.

• Implemented responsive design with React and Tailwind to ensure optimal display across various devices.
• Optimized the web application's performance by aggregating a large dataset using JSON to eliminate duplicate queries.

SOFTWARE ENGINEER - Agartee (BC, Canada) 05/2022 - 12/2022

• Developed a highly scalable healthcare web application for managing patients' health data using Python and Kairos DB.
• Designed and implemented a system for archiving and aggregating data from healthcare devices' databases, using data processing techniques to optimize performance and minimize data loss.
• Utilized an API that supported GET/POST request metrics to efficiently retrieve and process raw data, resulting in faster and more reliable data processing.

BCIT (BC, Canada) 01/2021 - 01/2023

DIPLOMA IN COMPUTER SYSTEMS TECHNOLOGY

-Predictive Analytics Option-

Learned machine learning/modeling techniques to predict binary, probability, ordinal, and categorical outcomes.