Hi, I'm Linda Wang.

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Self-driven, quick starter, passionate programmer with a curious mind who enjoys solving a complex and challenging real-world problems.

About

I am a Computer Engineering student at the University of Toronto, with a strong focus on business, finance, and artificial intelligence. Over the years, I have honed my skills through a blend of academic pursuits and hands-on experience in fields such as machine learning, backend development, and data analysis. My professional journey includes positions at Scotiabank, where I developed strategies that increased revenue, and at the Toronto Intelligent Systems Lab, where I worked on cutting-edge machine learning models for visual localization in autonomous systems. These experiences, combined with my entrepreneurial spirit, have strengthened my ability to design and implement solutions that address real-world challenges. I am passionate about solving complex problems, and I continuously seek to push the boundaries of technology to deliver impactful, innovative solutions. Whether it's through building apps like Poker Wizard VisionOS or optimizing financial systems, I strive to make a tangible difference in the projects I undertake.

  • Languages: Python, JavaScript, C, C++, HTML/CSS
  • Databases: MySQL, PostgreSQL, MongoDB
  • Libraries: NumPy, Pandas, OpenCV
  • Frameworks: Flask, Django, Vue, TensorFlow, PyTorch
  • Tools & Technologies: Git, JIRA

Looking for an opportunity to work in a challenging position combining my skills in Software Engineering, which provides professional development, interesting experiences and personal growth.

Experience

Scotiabank S&T

Global Equity Trading Developer
  • Researched and presented an alpha generating strategy; increased EES FX revenue by 30%
  • Automated 5 Python scripts using Task Scheduler; increased efficiency in daily work
  • Top 3 in case competition among 52 groups internationally
  • Tools: Python, JavaScript, SQL, Django
May 2023 - April 2024 | Toronto, Canada

Toronto Intelligent Systems Lab

Machine Learning Researcher
  • Designed machine learning models for visual localization, improving accuracy by 20%
  • Awarded the Dean’s Undergraduate Student Summer Research Fellowship ($6500)
  • Tools: Python, PyTorch
May 2022 - Sept 2022 | Toronto, Canada

Projects

Skills

Languages and Databases

Python
HTML5
CSS3
MySQL
PostgreSQL
Shell Scripting

Libraries

NumPy
Pandas
OpenCV
scikit-learn
matplotlib

Frameworks

Django
Flask
Bootstrap
Keras
TensorFlow
PyTorch

Other

Git
AWS
Heroku

Education

University of Toronto

Toronto, Canada

Degree: Computer Engineering
CGPA: 4.0/4.0

    Relevant Courseworks:

    • Software Engineering
    • Computer Graphics
    • Computer Algorithms

Contact

Places Travelled

Here are some of the places I've visited around the world. You can explore them on the map below: