📁 Experience

Coursework: Introduction to Programming in C++, Data Structures & Algorithms, Software Construction, Computer Organization, Operating Systems, Computer Security, Secure Computing Systems, Deep Learning & Neural Networks, Computer Network Fundamentals.

Currently helping grow cybersecurity education at UCLA!

Currently helping teach COM SCI 35L: Software Construction taught by Dr. Paul Eggert.

Currently working on security research advised by Dr. Yuan Tian.

Currently leading UCLA's competetive CTF team!

Worked on the Cloud Ingestion Team. More information soon.

Worked on the AI & Multimedia Apps Team. Helped to develop the initial version for the LatticeWork License Plate Recognition Network Video Recorder (LPR NVR), a computer vision based IP camera monitoring software helping to track & log automobiles based on license plate recognition. The LatticeWork LPR NVR was developed for the Amber Pro, an edge cloud device & the company's core product, and proprietary machine learning inference acceleration hardware. This later became a core feature of the AmberOS operating system.

Currently managing Psi Beta Rho, UCLA's competitive Capture The Flag (CTF) cybersecurity team. Facilitated weekly practices involving learning industry standard cybersecurity tools such as common Linux programs, Python scripting, reverse engineering tools, and forensics tools. Organized guest speakers and collaborations with other colleges to provide exposure to vast cybersecurity experiences. Managed team members and other students while competing at external CTFs.

Currently helping grow cybersecurity learning at UCLA! Helping organize Cyber Academy, a weekly workshop series promoting cybersecurity fundamentals such as file analysis, cross site scripting, & steganography to about 20-30 computer science students. Facilitated organization's DevOps through weekly deployment of challenges to an AWS EC2 server for events using Git and CI/CD tools. Maintained the Cyber website platform written in Rust and improved documentation for maintenance and deployment. Developed challenges for workshops involving C and common Linux tools.

Taught the top 71 engineering high school students in NJ through workshops relating to engineering research, Git/GitHub, machine learning, and LaTeX/Overleaf. Facilitated research as a project liaison for two research groups who investigated using properties of structure-borne sounds and machine learning models in MATLAB to identify hand structure as a biometric mobile authentication system and developing crowd-sourced engagement features for higher education through a web application written in React.js. Developed web scraping scripts using Python and regex to archive 8+ years worth of research paper PDFs and metadata to assist with a site migration for the Governor's School research journal.

Helped organize Cyber Academy, a weekly workshop series promoting cybersecurity fundamentals and focusing on forensics for Winter Quarter 2022. Contributed to the weekly cyber newsletter focusing on current trends & tips for cybersecurity. Developed challenges for workshops and CTF After Dark covering cybersecurity tools such as Linux and other forensics tools.

Founded Liu U: Tutoring Services, a company dedicated to connecting tutee-clients to tutors in our student-to-student learning model that specializes in math and science tutoring as well as SAT preparation. Worked as a student-tutor and developed tailored educational plans for clients. Learned entrepreneurial skills of organizing, logistics, customer service, and marketing.

Spent 8 week at the Learning Science Internship program. Worked under a data scientist on an independent research project to analyze the impact of unemployment benefits within the United States. Learned data science applications of Python, Git, and Jupyter Notebook and about data sourcing and cleaning.

Accepted as a Scholar among the top 72 of NJ high school students with a less than 1% acceptance rate. Published research paper, Integrating Natural Language Processing and Computer Vision into an Interactive Learning Platform, to 2020 GSET Research journal. Developed an educational video conferencing platform with Python that had machine learning features. Research was presented at both the 2020 NJ GSET Symposium and the 2020 MIT IEEE URTC.