Jessica Zhou

Software Engineer based in Vancouver, BC, Canada.

Building software solutions at the intersection of technology and business

About Me

Hello! I'm Jessica, a Computer Science and Business student at the University of British Columbia (BUCS program), graduating in April 2026. My passion lies at the intersection of technology and business.

I also had the opportunity to enhance my global perspective of technology and business during my exchange studies when I was at Tsinghua University, which focused on ML/AI and Financial Technologies.

When I'm not coding, I enjoy exploring new coffee shops and trying out new (Japanese) restaurants in the city. Occasionally, I also like to go hiking, skiing, and snowboarding.

Education

University of British Columbia, Vancouver, CA

Combined Major in Computer Science and Business (BUCS)

Expected Graduation: Apr 2026

Tsinghua University, Beijing, CN

Exchange Studies at SEM & Department of Computer Science and Technology

Feb 2024 - Jan 2025

Technical Skills

Programming Languages

Python
Java
C/C++
JavaScript/TypeScript
MySQL
R
HTML5/CSS

Frameworks & Libraries

ReactJS
NodeJS
PyTorch
TensorFlow

Tools & Technologies

Git
GitHub
Visual Studio
IntelliJ
Unit Testing

Certifications

Google Cloud Essentials

Featured Projects

ArcSphere: AI Agents Powered By Groq

Developed a modern web application using Graq's LLaMA 3 70B model, that features a chat interface for users to interact with the AI agents.

Implemented custom system prompt to define the specific capabilities of the AI agents.

JavaScript ReactJS Vite HTML5/CSS NodeJS Groq API

Client-Server Chatroom Application

Developed a multi-threaded chat server in C++ using socket programming, supporting concurrent user connections with real-time message broadcasting.

Implemented efficient message handling with sub-100ms delivery latency and robust error handling mechanisms.

C++ Socket Programming Multi-threading

Blood Vessel Segmentation using ML

Developed a 3D U-Net architecture for precise pixel-wise classification of vasculature structures, automating kidney segmentation and reducing manual processing time by 85%.

Implemented an innovative two-step training pipeline with supervised pretraining and denoising techniques.

Python PyTorch Machine Learning

Variational Autoencoder (VAE) Comparison

Implemented and compared Bernoulli and Gaussian VAEs using PyTorch, achieving 90% reconstruction accuracy on the MNIST dataset with a compact 40-dimensional latent space.

Built comprehensive visualization pipeline for different analysis outputs including loss comparisons and reconstruction quality.

Python PyTorch Deep Learning Data Visualization

Experience

Researcher

Blood Vessel Segmentation using Machine Learning

Beijing, CN

Sep 2024 - Jan 2025

Developed a 3D U-Net architecture for precise pixel-wise classification of vasculature structures
Implemented an innovative two-step training pipeline with supervised pretraining and denoising techniques
Built an end-to-end pipeline processing TIFF scans and generating 3D segmentation masks

Software Developer

Variational Autoencoder (VAE) Comparison Project

Beijing, CN

Oct 2024 - Nov 2024

Implemented and compared Bernoulli and Gaussian VAEs using PyTorch on MNIST dataset
Built comprehensive visualization pipeline generating 6 different analysis outputs
Optimized model training through systematic hyperparameter tuning

Student Mentor

University of British Columbia

Vancouver, CA

Nov 2023 - Dec 2023

Mentored 20+ CS and Business students through technical career guidance and academics
Spearheaded the organization of the largest China Forum in Canada, reaching 62M+ viewers
Established partnerships with 30+ top global universities for event collaborations

Contact Me

jess.c.zhou@gmail.com

linkedin.com/in/jessicaz-

github.com/jjcyz

instagram.com/_jessicazhou

Feel free to reach out to me through any of these channels!

Send Email