
Hi, I am
A college student and aspiring full-stack developer.
Who am I?
Hi everyone! My name is Aaron Zheng. On the internet, I exist under two usernames: zhenga1 or aaronyjamesys. I was born in 2004 in Toronto and grew up in Hong Kong.
I am currently a first-year student at UC Berkeley pursuing an undergraduate degree in EECS. Currently I am working as an undergraduate researcher under Prof. Carlo Sequin to develop JIPCAD, and am also part of Berkeley's Space Technology And Rocketry (STAR) avionics team.
In my free time, I enjoy skateboarding, watching/playing basketball, cycling, playing the electric guitar and chinese flute. I also like creating things: pasta and dumpling dishes, robots, 3D-printed models, and mobile applications.
Below are some projects I have been working on!
I am currently a first-year student at UC Berkeley pursuing an undergraduate degree in EECS. Currently I am working as an undergraduate researcher under Prof. Carlo Sequin to develop JIPCAD, and am also part of Berkeley's Space Technology And Rocketry (STAR) avionics team.
In my free time, I enjoy skateboarding, watching/playing basketball, cycling, playing the electric guitar and chinese flute. I also like creating things: pasta and dumpling dishes, robots, 3D-printed models, and mobile applications.
Below are some projects I have been working on!
My Projects:

NOME-JIPCAD
Used antlr4, typescript and regexr to create a customised vscode extension for the NOME programming language, allowing JIPCAD users to have an easier time using the CAD software.
Github link: ——NOME-JIPCAD
Phocabulary
Use Android SDK to develop Phocabulary, an educational app for students, by students. Phocabulary allows users to see and learn about physical objects on their camera screens with just a click using object detection AI models.
Github link: ——Phocabulary

My Own Toolbox

Gesture Detector
A Handpose Detector made using tensorflow, with react as the frontend. Will detect and show the relevant handpose done by the user through an emoji format.

Write Easy
A Flask web app made using Cohere and python as backend that generates paragraphs of text, saving college student's time by helping them write application essays.