American Beauty Institute

I am a Data Engineering Consultant for American Beauty Institute, a cosmetology school that offers certification education for various beauty-related fields, building their data platform from scratch to support their rapidly growing business as they expand in multiple locations.

Links: GitHub | Documentation

At The Table

At The Table connects foster youth with educational resources. The executive director maintained multiple versions of a scorecard spreadsheet for partner organizations, a time-consuming process that took away from directly serving students. I developed a centralized web application that replaced the fragmented spreadsheet system with an intuitive interface accessible to non-technical audiences.

This web app serves not only the staff and students in At The Table, but also Fair Futures and students in CUNY’s Foster Youth College Success Initiative, among many other partner non-profits and foster care advocacy organizations.

Links: GitHub | Demo

koffee

koffee is a lightweight CLI tool that translates a given video file to the target language, outputting a translated file with the subtitles embedded into it.

It was developed for myself and friends at a Discord community where there are many fans of K-pop and Anime, serving dozens of users weekly.

Links: GitHub

RAWG Video Game Data Pipeline

I built this data pipeline as I was getting into the Data Engineering space to playtest various tools I found interesting, but to also pique my curiosity on video game trends. It sources data from RAWG's public API and is ultimately fed into a Streamlit web app to visualize the trends.

Links: GitHub

LlamaIndex

I added support for pathlib objects to one of the most commonly used data loading modules in LlamaIndex, the SimpleDirectoryReader, after I noticed it only accepted string paths.

Links: Pull Request | Issue