Elham Badri

Full-stack Engineer

Frontend Developer

Toronto, ON, CA

Python

TypeScript

Java

Javascript

Object Oriented Design

Linux

Github

Git

Flask

MongoDB

Node.js

Express.js

React

HTML/CSS

Bash

MySQL

SQL

Available for hire fromNegotiable

Computer Science @ UofT | Software Engineer | “The best way to predict the future is to invent it.” -Alan Kay

Ambitious and driven third-year Computer Science student at University of Toronto’s Co-op program with a passion for developing software and learning,

Projects

SocialPhoto

Engineered and deployed a full stack CRUD photo sharing application using the MERN stack

WikiMe

Created a Flask backend using Python and Git to create a quiz generator utilizing Wikipedia's API, the scikit-learn library, and tf-idf for extracting important words in under 36 hours at Hack the North 2020++See More

HealthSchedule

Developed an Android clinic scheduler application using Java and Android Studio, following a Scrum process

Sorting Visualizer

Created a React application that visualizes different sorting algorithms, including researching and implementing bubble sort, insertion sort and selection sortSee More

Playbook

Social Media Application for gamers!

Work History

Software Developer

OracleSep 2022 - Dec 2022 • 4 mos Implemented new UI and backend features using Java, Typescript, Git, SQL, Perforce, and object-oriented design in an agile environment, resulting in a smooth and efficient user experience ● Drove a 60% improvement in search speed and user satisfaction through development of new search functionality ● Ensured stability and reliability of new features through comprehensive unit testing, resulting in 100% test coverage ● Provided technical leadership by identifying technical challenges and sharing knowledge to drive project success

Software Developer and Analyst

Sunnybrook Research InstituteJan 2022 - May 2022 • 5 mos● Implemented new features, fixed bugs for, and documented a medical time series analysis and annotation application, as a single developer, using JavaScript, jQuery, Meteor, and MongoDB, resulting in 1000+ lines of code written ● Refactored code while implementing custom channel scaling, scaling channels to fit the screen, translating channels, reversing the polarity of a channel, ultimately increasing speeds by 300% ● Integrated different annotation features, improved crosshair sync, and the ability to choose specific channels to render, reducing task completion time by 50%

Education

University Of Toronto

Bachelor's Degree, Computer ScienceSep 2020

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