Web App Social Media

Abdulwasay Sultan Qureshi

Swarthmore, PA • 409-***-**** • *******@*****.*** • https://github.com/wasayq5 EDUCATION

Swarthmore College Swarthmore, PA

Bachelor of Arts in Computer Science September 2020 - May 2024 Relevant Coursework: Software Engineering, Data Structures and Algorithms, Algorithms, Intro to Computer Systems, Linear Algebra, Calculus 1 and 2, Discrete Mathematics, Deep Learning, Game Systems, Operating Systems, Statistics 1 PERSONAL PROJECTS

MERN Stack Notes App

https://github.com/wasayq5/notes-app

● Built a web app that allows users to create, read, update, and delete notes.

● Implemented JWT authentication system to enhance web app security and user access control

● Utilized: Node.js and Express.js for the backend, MongoDB database, React.js for the frontend My Study Buddy (Chrome Extension)

https://github.com/wasayq5/mystudybuddy

● Developed a study-focused productivity application designed to enhance the learning experience.

● Allows users to set custom reminders, and periodically reminds users to stretch, drink water, and have a snack.

● Implemented a distraction-blocking feature that restricts access to social media/entertainment sites.

● Utilized: HTML, CSS, JavaScript

Worldwide Natural Hazards Web Map

https://github.com/wasayq5/NaturalHazardsWebMap

● Developed and deployed a web app that displays information on all ongoing Natural Disasters in the world

● Parses 1000’s of data points from live JSON feeds from various API’s and maps information on a web map.

● Implemented data analysis features to generate frequency graphs on worldwide natural hazards.

● Utilized: Python (with numpy, folium, and matplotlib), HTML, Jinja. Custom File System

● Created a custom file system using the FUSE library with create, read, write, and remove operations

● Simulated a block-level disk interface with ‘mmap ’ for efficient file system metadata management

● Implemented data structures (inodes, directory entries) for efficient performance and handling system metadata Facial Feature Attribute Classification Model

https://github.com/wasayq5/Facial-Feature-Detector

● Developed a Convolutional Neural Network (CNN) for Facial Attribute Detection using TensorFlow, achieving 78% accuracy.

● Preprocessed and curated a subset of the CelebA dataset (50,000 images) to improve model training efficiency. RELEVANT EXPERIENCE

Major League Hacking - Production Engineering/Site Reliability Engineer Fellow June 2023 - September 2023

● Developed, containerized, and deployed flask app on CentOS instance with database using MySQL

● Setup traffic management using Nginx

● Developed an automated CI/CD pipeline for improved efficiency and delivery, reducing deployment time by 25%.

● Mentored by Production Engineering Fellows at Meta Swarthmore Robotics Club - Member November 2021 - May 2024

● Built functioning robotics kits by writing and reviewing code in C for Arduino Microprocessors.

● Recruited new members and increased membership by 20%.

● Co-led 2 coding projects for new members.

SKILLS/EXPERTISE

HTML, CSS, JavaScript, MySQL, MongoDB, React, Docker, Continuous Integration/Continuous Development (CI/CD), Python, Java, C++, C, Software Development Lifecycles, MongoDB, Databases, Express.js, React.js, Node.js, Pandas, MERN stack, Public Speaking

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