About Me
Hey, glad that you've landed here 🛬! I'm Natalie, a Software Developer at Wealthsimple in Canada. I've graduated with an Honours Bachelor of Science (HBSc) in Computer Science from the University of Toronto.
I have Backend and Full Stack Experiences:
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I currently work at Wealthsimple as a Backend Software Developer, building backend investing and statement generation platforms to drive financial freedom for every Canadian!
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I previously worked at Clio as a Full-stack Software Developer Intern, where I developed cutting-edge communication systems for law firms and courts.
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Institute for Information Industry as a Machine Learning Research Intern, where I built video annotation tools and conducted research on vehicle identification systems.
During my university experience, I have been actively involved on campus with:
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Computer Science Student Union as a Graphic Designer.
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University of Toronto Design League as a Social Media Marketing Officer.
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UofT New College as a Marketing Executive and Graphic Designer.
Here are some technologies I've been working with recently:
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Python
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Ruby on Rails
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Java
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SQL
When I am not working you will either find me in the kitchen 👩🏻🍳, in the mountains 🏔, or in the ocean 🤿 Always happy chat about any of those!
Experiences
May 2022 - Present
Wealthsimple
Software Developer 1
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Participated in recursive investment and restricted asset project planings and executed development plan with Python and Ruby on Rails.
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Maintained automatic order generation service and fixed reported software flaws to reduce error rate and increase client satisfactions.
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Documented setup and debugging instructions for services and software tools to improve on-boarding efficiency.
Sept 2021 - April 2022
Clio - Cloud-Based Legal Technology
Software Development Intern
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Developed both frontend and backend services for requested features on client communication platforms such as read receipts and notifications using Ruby on Rails and JavaScript.
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Assisted on-call work and monitored Datadog alerts to identify and fix potential errors and flaws.
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Hosted intern knowledge-sharing meetings to enhance self-learning and development.
May 2020 - Dec 2020
Institute for Information Industry
Machine Learning Research Intern
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Developed internal image and video marking tools for presenting and demonstrating product
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Conducted research on Machine Learning and Image Processing tools related to vehicle