Products (LIFT) Team-Developed CamLink, a NextJS AMR workflow-testing system designed for client-facing demos of LIFT-Mentored another intern on the team and oversaw project development by managing the Scrum board and delegating tasks-Designed project system architecture diagram and authored documentation on maintenance and deployment-Created a reusable React video feed component for displaying RTSP streams via a Golang-based video protocol converter-Reverse-engineered a third-party IP camera server, enabling VISCA-free integration with a custom web-based PTZ interface created in React-Configured NSSM services for deployment and setup Nginx as a reverse proxy to enable secure WSS connections

LINE Shopping Team-Worked in an Agile environment on the LINE Shopping platform to service over 12 million active users-Upgraded internal information management system in Vue3 and presented demo to sales dept.-Improved live feed filtration system in Golang using SQL queries and setup Unleash feature toggling-Created unit-tests and mocked methods using Golang and Ginkgo

-Collaborated with UPS on a Data Visualization and Machine Learning model used to identifyvaluable investment opportunities. -Learned the Agile framework and worked in 2-week sprint cycles within a team of 9+ members. -Created UPSDMlib, a Python library for parsing and One-hot encoding data in the provided dataset.-Helped develop a random forest model to predict revenue and an unsupervised model to analyze the relationship between data columns using k-means clustering.

With a growing userbase of over 25,000 users, Cobellum is a social entrepreneurship venture and online competitive computer science platform that aims to improve educational technology for students around the world. Developed backend for the entire site and engineered a custom test marking and rating assignment algorithm. Partnered with organizations worldwide, including 3 public companies, 4 NGOs, and the UN.

I worked as an Intern — and later, Student Employee — under the mentorship of the Vice President of Digital Technology. During my time at MK Restaurant Group, I was responsible for the development and training of a LSTM Recurrent Neural Network to forecast sales revenue data for MK Restaurant branches across Thailand.