Hello, I'm
Jessica Zhou
Full-stack developer
Based in Vancouver, BC, Canada.
Scroll to explore
About Me
I'm a Computer Science and Business student at the University of British Columbia (BUCS Program), graduating in April 2026. My interests lie at the future of tech and software, especially how systems can be optimized to be more efficient and scalable using AI.
I've worked on projects that range from full stack web development to building new applications with the latest AI technologies. I'm excited for what is possible with these technologies and how they can be applied in innovative scenarios.
I also had the opportunity to enhance my global perspective of technology and business during my exchange studies at Tsinghua University in Beijing, China, which focused on machine learning. I got to see how some of the brightest innovators are pioneering the new era of technology at scales unheard of before.
Asides from all the tech stuff, I enjoy exploring a mash of the great outdoors and city life that Vancouver blesses me with. From going on hikes in Squamish to beaches in 30 mins to skiing and snowboarding in Whistler. I also love to visit the variety of cafes and restaurants in the city. (need new recommendations)
Education
University of British Columbia
Combined Major in Computer Science and Business (BUCS)
Data Structure & Algorithms, Relational Databases, Data Analytics, Computer Architecture, Business Strategy
Tsinghua University
Exchange Studies at SEM & Department of Computer Science and Technology
ML/AI, Computer Systems, Distributed Database Systems, Financial Technologies
Technical Skills
Programming Languages
Frameworks & Libraries
Cloud & Infrastructure
Databases
AI & Machine Learning
Tools & Technologies
New technologies are being developed every day. I'm always finding new ways to improve my skills using them.
Featured Projects
Destination AI: AI-Powered Route Planning
An intelligent route planning application that uses AI to optimize travel routes, suggest efficient paths, and provide real-time navigation recommendations for seamless journey planning.
ArcSphere: AI Agents Powered By Groq
Developed a modern web application using Groq's LLaMA 3 70B model, featuring a chat interface for users to interact with AI agents.
Client-Server Chatroom Application
Developed a multi-threaded chat server in C++ using socket programming, supporting concurrent user connections with real-time message broadcasting.
Blood Vessel Segmentation
Developed a 3D U-Net architecture for precise pixel-wise classification of vasculature structures, automating kidney segmentation and reducing manual processing time by 85%.
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.
Experience
Software Engineer Intern
Polymuse
- •Early startup work in AR and AI - coming soon
Research
Tsinghua University
- •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
Student Mentor
University of British Columbia
- •Career guidance and academics
Contact Me
Let's Connect
I'm always interested in hearing about new opportunities, collaborations, or just having a chat about technology and/or business. Feel free to reach out!
Quick Response
I typically respond to emails within 24 hours.