Hello, I am Tejasvin Mukesh. I am an undergraduate student at UC San Diego majoring in Computer Science. I am interested in Software Development, Machine Learning and solving complex problems using the principles of Computer Science. I am actively seeking an internship for summer 2022.
I have worked on multiple projects which has helped me hone my skills using languages like Java, C/C++, Python, HTML/CSS, JavaScript and more. Moreover the courses I have taken at UC San Diego have further trained me in using Data Structures and designing efficient Algorithms to solve problems.
Infostretch | June 2021 - August 2021
● Translated figma wireframes of Form Submission/Validator pages to factory quality code and developed front-end architecture with increased efficiency by building and using reusable components using JavaScript and React.js.
● Debugged application code to improve functionality by up to 15% and optimized code by employing function and class-based components in React.js.
● Integrated the front-end React Components to a store API using React Hooks and a REDUX store.
Kangaroo Kids Education Limited | April 2019 - June 2019
●Worked as a Computer Science teacher for children with special needs. Introduced the students to the concept of programming using Java.
●The lectures ranged from the most basic function such as printing to basic number manipulation to 1D and 2D arrays as well as string manipulation and introduction to functions.
Open Source @ UC San Diego | October 2021 - Present
● Part of a thriving community at UC San Diego that contributes to Open Source projects.
● Involved in quarterly projects which involves working in teams.
Developer | March 2021 - June 2021
● Worked as a developer within a group of 5 to develop a digital Bullet Journal App. JRNL at its core is a lightweight, private, digital bullet journaling app designed for students pursuing remote education.
● Developed several Web-components by translating the Figma wireframes into efficient code using HTML, CSS and JavaScript. Implemented the app as a PWA which enables the users to use the app both online and offline.
Developer | June 2021 - July 2021
● Developed a text summarizer app which applies the newspaper package as well as the Natural Language Toolkit (NLTK) python libraries to provide a short abstract of a given news article. Incorporated the textblob package to produce a sentiment analysis of the given article in terms of ‘positive’, ‘neutral’ and ‘negative’.
● Built a simple GUI of the app consisting of a section to enter the URL of the article and a submit button using the tkinter package.
Developer | November 2021 - December 2021
● Using a dataset from Food.com, measured similarity between users and recipes using the concepts of Jaccard and Cosine similarity. Used this similarity along with the popularity of the given recipe to predict whether a certain user will cook the given recipe or not with 75% accuracy.
● Performed Linear Regression using recipe features such as ingredients, steps in the recipe, and the presence of certain words in
the steps to predict the cook time of a given recipe.