Front-end Developer
- Regularly updating the club website using React.js and maintaining the backend using MongDB and MySql.
First Year Computer Engineering Student at University of Toronto, with interest in Fullstackdevlopment/Machine Learning/Blockchain.
1.Machine Learning: Linear Regression Model, Creating a linear regression model that predicts the number of medals a country will win in the Olympic games. Used Pandas, numpy, and seaborn for data visualization and analysis.
2. Working on the Geoguessr application for University of Toronto Cloud Club as a front-end developer using React.js and flutter.
3. Netflix Landing page: Created the front end of the Netflix website using HTML, CSS, and JS.
4. Dalle Clone: Created a fully functional full-stack Dalle-E clone using Open AI API, Next JS, Tailwind, Node JS, and MongoDB.
5. File sharing app: Created a full-stack file sharing app using Javascript, Yarn, and Vercel.
Uoft International Scholar award