Jack Kang
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolJack Kang is an RF-focused student researcher and EECS graduate student at UC Berkeley with eight years of technical and leadership experience spanning RF design, embedded systems, and applied machine learning. He develops low-power RF hardware for MRI applications—currently building an RF tag that wirelessly transmits analog ECG into an imaging band—and has interned on WiFi/BT integration and characterization at Apple. Jack’s background includes hands-on course leadership as an EE lab TA, building test plans and PCBs, and practical automation work in military intelligence that reduced repetitive task time by ~85%. Fluent in both engineering and operational settings, he combines systems thinking with experimental rigor and a creative interest in the intersection of music and computing.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, EECS, Master of Science - MS, EECS at University of California, BerkeleyJungsan High SchoolHigh School Diploma, High School Diploma at Maine School of Science and Mathematics (MSSM)
Korean, English
Github Skills (34)
javascript10
css10
certification10
codebase10
math10
nodejs10
react10
maze9
programming-tools8
translation7
data-structures7
computer-vision6
python6
java6
algorithms6
Programming languages (6)
Github contributions (5)
dongwon900/mazeproject
Feb 2018 - Oct 2019
Files for the maze data structures assignment. Graphics Framework for this project written by instructor Gregory Hamlin.
Contributions:1 PR, 4 pushes, 1 branch in 1 year 8 months
data-structuresmazegraphicsgregory
dongwon900/jack-of-all-trades
Nov 2019 - May 2021
Contributions:56 pushes, 1 branch in 1 year 5 months
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