Kevin Ye
|
About Me
I'm from Vancouver, BC and I am currently a student at Queen's University studying Computer Engineering with a specialization in artificial intelligence, and a certificiate in business. I am interested in software engineering, artificial intelligence, data analytics, and UI/UX design. As I continue to learn and gain experience, this site will be updated with new projects and experiences, along with my skills, resume, and contact information. In my free time, I enjoy playing badminton, travelling, and doing the NYT Wordle. Feel free to reach out at ye.kevin@queensu.ca!
A little more about me
Here's a short video of 9 year old me at my weekly robotics class, coding a lego mindstorms robot using EV3 code. Up until university, I was super embarrassed by these videos and desperately tried to hide them, but now I find it funny and like to think of those classes as a start to my interest in coding.
"Today I built a car" 👍
My chubby Great Pyrenees named Tofu!
I love taking pictures and EATING LOTS when I travel
I've played violin for 10+ years
Experience
Information Security Analyst
January 2026 — Present
• Supporting new implementation of ArmorCode with Qualys, CrowdStrike, and Tenable, into BMO’s security workflow
Software Developer, UI/UX Designer
January 2026 — Present
• Contributing to mobile app of Tribe, an event discovery and community engagement platform that enables users to find and attend local entertainment and social events, while providing event organizers with tools to promote, manage, and grow their audiences.
Software Developer, UI/UX Designer
March 2025 — Present
• Conducting market research and designing user-interface prototypes for bons.ai, an AI-integrated language learning app
• Utilizing LLMs to create personalized and customizable learning strategies and lessons, immersive real-world applications, real-time conversational practice, and dynamic content generation based on past lesson results
Technical Consultant
March 2025 — Present
• Collaborating with high-growth startups to design and implement technical solutions tailored to their unique business challenges
• Built scalable web-scraping APIs for a Series A b2c startup, to source secondhand clothing prices from e-commerce platforms based on product condition and brand
• Currently designing a data automation pipeline to process and enrich third-party data for supply chain client acquisitions, leveraging automation to deliver insight for M&A decision-making on 10,000+ companies
AI/ML Researcher
September 2024 — April 2025
• Developed an AI/ML-driven geospatial analysis pipeline in Python, integrating GIS-MCDA to use Dijkstra's algorithm to find optimal routes for possible Hyperloop networks across 20+ major Canadian cities
Projects
Bons.ai
December 2025
AI, Full Stack, UI/UX Design
QTMA product team project which utilizes LLM's to create personalized and customizable learning strategies for language learning strategies and lessons. Allows for real-world application, conversational practice, and dynamic content generation based on past lesson results.
Nest
September 2025
Full Stack
Website that helps university students find clubs while streamlining the application process with both student-facing and club-facing interfaces.
Deep Learning for Pancreatic Cancer Segmentation & Classification
August 2025
AI/ML, Backend
Multi-task deep learning pipeline for pancreatic cancer detection using nnUNetv2 and 300+ 3D CT scans with 82% accuracy.
Stock Sentiment Analyzer
June 2025
AI, Full Stack
Personal project that allows users to search for any NYSE stock and returns the public sentiment about the stock by scraping Reddit threads with an NLP, as well as basic stock metrics on the dashboard.
Hyperloop Machine Vision Safety System
January 2024
ML, Embedded Systems, Full Stack
Engineering project utilizing a YOLOV8 model for Machine Vision through Object Detection to create a live safety system for a Hyperloop pod with an arduino microcontroller.
Atmos
January 2025
Embedded Systems, Full Stack
Engineering project that allows for real-time detection of air quality parameters with readings and notifications on a bluetooth web app.
Motion Classification Model
April 2025
ML, Backend
Machine learning project classifying human motion using accelerometer data with a python desktop application real-time.
University Club Website
June 2024
Frontend
New website for inQUbate, a student-run, startup incubator club of Queen's University.
Skills
Frontend/Design
Backend
Data Analytics
Machine Learning
Frameworks/Libraries
Special Talents
Thanks for visiting!
Come back soon!