1. Mark Moawad
msmoawad99@gmail.com | https://www.markmoawad.com/ |
www.linkedin.com/in/mark-moawad | Github: Moawin99
Skills
● Languages: Java, Python, Nodejs, HTML, CSS, and SQL as well as Spring Boot, React and Express.js
frameworks.
● Experienced in leading and developing through various design stages.
● UNIX shells and Windows operating system.
Education
Stony Brook University Stony Brook, NY
Bachelors of Science, Computer Science, GPA: 3.2 Expected December 2022
Suffolk Community College Selden, NY
Associates of Computer Science, GPA: 3.2 September 2018 - May 2020
Dean’s list Fall 2018, Spring 2018
Relevant Coursework:
● Data Structures and Algorithms, Discrete Mathematics, Linear Algebra, Analysis of Algorithms, Advanced Object
Oriented Programming, Theory of Computation, Programming Abstractions
Projects
Writtery, Personal project June 2020 - Present
● Full stack personal journal that matches the mood of users and plays music using the Spotify API
● Utilizing Node.js + Express.js for the backend and React for the frontend. Data being stored in a postgresql
database. Containerizing with Docker.
Ghost Kitchen, Senior design project January 2020 - May 2020
● Full stack food delivery service that targets under utilized restaurant kitchens.
● Provided tools such as order tracking and menu management for small businesses who were impacted from the
pandemic.
Relevant Work Experience
CEWIT Hackathon 2021: Internzip, Winner of Best Domain Registered February 2021
● Led, designed, and developed a full stack application that served as a platform for college interns to find affordable
housing for out-of-state internships.
● Connected React frontend to a RESTful API java backend which can scale to serve over 1000 concurrent users.
Also deployed to google cloud services.
CEWIT Hackathon 2020: Prodict, Winner of Best use of Google cloud February 2020
● Developed and collaborated with a team to create multiple machine learning models in Python to accurately predict
the MVP for the NBA.
● Obtained over 90% accuracy by creating and averaging multiple models.
SUNY Undergraduate Research Conference, Participant September 2019 - April 2020
● Developed a sound analysis project, which can help hard of hearing individuals visualize changes in amplitude and
frequency. Implemented using p5js.
