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## Lecturer
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Hello! My name is Victoria, and you can reach me at victoria.bukta[at]mail.utoronto.ca.
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Note: I am still in the process to getting my email setup. In the mean time you can reach out to at vickybukta37[at]gmail.com.
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Hello\! My name is Victoria, and you can reach me at victoria.bukta\[at\]mail.utoronto.ca.
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I currently work at Databricks, which is a data and AI company, as a Member of Product Staff. I don't have a realy title at the moment, but basically it means that I work as a Product Manager.
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**Note:** I am still in the process of setting up my email. In the meantime, you can reach me at vickybukta37\[at\]gmail.com.
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You may be wondering, why is a product manager teaching this course? Well I actually come from a technical background and now working in Product I am uniquely positioned with the skills to bring technical products to market.
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I am currently a Member of Product Staff at Databricks, a data and AI company. While I don't have a formal title, my role is essentially that of a Product Manager.
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You might be curious why a product manager is teaching this course. I have a technical background, and my current role in Product has equipped me with a unique skill set to bring technical products to market.
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A bit about me.
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Before Databricks I worked at Shopify where I was a Staff Engineer and then an Engineering Manager. I have run and build technical projects in the data engineering space. I left Shopify to join a startup called Tabular with the founders of the Apache Iceberg project, which originated at Netflix. I worked there as a Product Manager. We were then aquired in 2024, so here I am.
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Prior to joining Databricks, I held positions as a Staff Engineer and later an Engineering Manager at Shopify, where I gained experience in leading and developing technical projects within data engineering. I then transitioned to Tabular, a startup founded by the creators of the Apache Iceberg project (which originated at Netflix), where I served as a Product Manager until the company's acquisition in 2024\.
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As an alumnus of the University of Toronto, I specialized in Computer Science, with a keen interest in AI and Operating Systems. My background in operating systems provides a unique perspective within the big data landscape; I believe every challenge in this space can be viewed as a systems problem, solvable by breaking it down into core algorithms and methodologies learned in theoretical courses. I welcome the opportunity to discuss this further.
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I am a alumnus of the University of Toronto where I studied Computer Science with interested in AI and Operating Systems. I believe my operating systems background uniquely positioned me in the big data space. Everything is a systems problem and can broken down into core algorithms and methodology that we learn in our theory courses. Grab time with me and I'm happy to chat more!
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Having been a student in CSC 491 and a TA years ago, I'm excited to return and incorporate my product background into the course.
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I have also been in a students in this very CSC491 class, and I was a TA years back. I'm happy to be back, and this time bringing some of my product background into the course.
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You can find my LinkedIn and GitHub profiles below.
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