Computer Engineering Undergrad Student
University of Toronto
winnie.hsiang@mail.utoronto.ca
Coding Skills
Python
C
HTML
Pytorch (Machine Learning)
C++
Arduino
Javascript
Education
University of Toronto
Undergraduate Degree
Major: Computer Engineering
Minor: Bioengineering, Music Performance
GPA: 3.94
Grade Average: A+
Musical Skills
See more information about music awards, volunteering, work experience, and achievements on: https://musical-background.winnie0817.repl.co/
Piano
Music Theory
Harmony
Cello
Pipa
Doublebass
Languages
Mandarin
English
German
disbursed at a rate of $10,000 per year
Responsibilities include analyzing evaluation data for program improvement, managing the E-Buddy email account, supporting First Year Office programming and events, and assisting with E-Buddy workshops and social events. For more information, please contact Brianna MacDonald at
briannaa.macdonald@utoronto.ca.
Kaggle Competition: Explored self-testing & resource-constrained performance of Large Language Models on intricate science questions, trained using ChatGPT4.0 dataset. Offered insights into LLM potential & limitations in self-assessment.
Implemented CNN-RNN hybrid model using PyTorch for genre classification of diverse music tracks. Leveraged CNNs and RNNs to achieve accurate classification with over 80% prediction accuracy on new tracks. Preprocessed dataset of various genres. Input: grayscale MFCC spectrogram as numpy 2D array.
Transformed online shopping through AI innovation. Enabled users to engage in natural language conversations with ChatGPT, generating personalized product recommendations from Amazon's database based on distilled keywords.
A user-friendly healthcare recommendation website in Toronto, utilizing Cohere for symptom analysis and Google API to match users with personalized doctor recommendations based on symptoms. Streamlining the healthcare journey and enhancing accessibility.
Collaborated on foot nerve simulation machine project, supporting client's research. Researched foot nerve functions, developed design solution using Arduino for pressure simulation and data collection. Acted as primary contact, maintained regular communication and meetings. Tested actuators, prioritized safety protocols.
Garbage is a playful project featuring a useless trash bin that closes, laughs, and runs away when you attempt to throw something in. Built using an Arduino microcontroller and sensors, it adds a humorous element to the task of taking out the trash.
Built Journa, a mobile app that enables self-discovery through daily journaling, utilizing React Native and JavaScript development tools on Visual Studio Code.
Collaborated with a team to develop a comprehensive plan for the redesign of the Sidney Smith Building, with a focus on improving accessibility and social usability. Conducted research on user needs and preferences, and proposed design solutions based on findings.
Responsible for Preparing Solutions for Experiments
Founder, Generated and Responded Posts on Social Media
Awarded to students with a weighted term average of 79.5% or higher.
1st place in Vancouver, 17th in Canada