About
I like fullstack development, data science, machine learning, large language models, taking naps, and programming in Rust π
If you have time, read my lore.
Experience
Skills
Check out my latest works
I've worked on a variety of projects, from simple web applications to complex dataset analysis with machine learning. Here lists all my favourite projects in chronological order
Flettext
An extensive real-time instant messaging application designed to connect people from all over the world. Provided features include guilds, channels, etc. Talk with a group of friends, or just directly message friends.
I love building innovative projects
During my time in high school and university, I attended 6+ hackathons. In hackathons, people from around the world would come together and build incredible things in 2-3 days. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals.
- H
Hack Western
London, Ontario
Developed "Haystack Diet", a web application that uses machine learning to plan events given data and geolocation. The app also provides personalized meal recommendations based on the provided dietary preferences and restrictions. It also integrates a game involving serving mustangs built with react-three-fiber that users can play to train themselves in understanding dietary restrictions
- H
Hack The Valley
Scarborough, Ontario
Made "Interview Monkey", a competitive platform for mock one-way interviews. The application makes interview prep more personalized, engaging, and interactive while simulating a competitive and realistic environment.
- H
Hack The North π
Waterloo, Ontario
Created a fun, engaging, and rewarding way for users to reduce their carbon footprint and make eco-friendly decisions.
Won 1st place in RBC (Royal Bank of Canada) sponsor track - H
Hack The 6ix π
Toronto, Ontario
Developed an Adobe Express Add-on to empower content creators, marketers, and businesses to streamline their social media workflow without compromising on quality or creativity.
Won 3rd place Overall - W
WaffleHacks π
Virtual
Built a chrome extension that can instantly recognize text for sources of non-inclusive or discriminatory language and replace it with more welcoming vocabulary using Cohere's LLM.
Won Best Hack for Diversity & Inclusion
Won Honourable Mention: Use of AI
Won Honourable Mention: UI/UX
Get in Touch
Want to chat? You can shoot me an email at messenger@williamzeng.xyz and I'll try to respond as soon as possible.