I'm a student at the University of Toronto studying Computer Science, Physics and Spanish. But beyond that I'm a passion-driven person with a hunger for knowledge. After all, that's how I got to where I am today. But I believe that one learns as long as they live, and I'm excited for the challenges ahead.
Outside of work, I love to exercise! If I'm not busy studying or learning something new, you'll definitely find me in the gym. I'm a very social person as well, so I always try to catch up with my friends or meet new people. So if you ever see me outside, feel free to say hi!
View Resume A financial app built with the goal of simplifying your day to day tracking of finances, owned by a startup of the same name. I worked on enabling Google and exchange auth for a third-party API that could scrape a user's email and account for transactions found there. Also created a forecasting function that predicts a user's transaction based on similar transactions made in the past
Note: app is still in development
A basic implementation of a generative pre-trained transformer (also known as GPT) trained on an extrapolation of Shakespeare's play, "The tempest". I implemented a language model, encoder, token generator, loss estimator and optimizer. As part of the optimization, I implemented methods such as self-attention, feed-forward layer, residual connections and dropout. The GPT aims to generate and output that is similar to Shakespeare's play
A chat bot powered by LangChain that provides users with the most up-to-date scores and stats for NBA games. The chat bot is able to provide information on any game in the current and past seasons. It has a retrieval-augmented generation capability, allowing it to dynamically create a SQL query based on user input, execute it and return a natural-language answer to your question. Additionally, it has a memorization and contextualization ability, giving it an overview of all past messages, which enables to user to make queries without providing crucial information that has been provided previously
Phone: (437)-986-4015
Email: marko.bachvarovski@gmail.com