AMBROSE WILKINSON

New York, NY

[email protected] 207.451.5536

A creative and motivated sophomore majoring in computer science, experienced in developing full-stack applications using JavaScript, React, and MongoDB seeking an internship to collaborate with others and learn new technologies.

EDUCATION

B.S. in Computer Science, The City College of New York, GPA: 3.0        Expected May 2027

B.A. in English and Sociology, Hunter College, GPA: 3.7     January 2016

RELEVANT COURSEWORK 

Writing for Engineers, Calculus I & II, Physics I

CERTIFICATION

Full Stack Coding, Columbia Fu Foundation School of Engineering       March 2022

QUALIFICATIONS

Programming Languages: JavaScript (proficient), Python (intermediate), Java (intermediate), HTML5 (proficient), CSS (Proficient)

Technical Skills: Git, Heroku Web Services, Linux, VS Code

Technologies: Node.js, Express.js, React, Next.js, Material UI, Tailwind, Bootstrap, Spring Boot

Key Skills: collaborative, communication (written and verbal), sales, time management, adaptable

Languages: Spanish (intermediate), French (intermediate)

PROJECTS

Unique Wares:                   https://github.com/a-breezy/unique-wares

Full stack E-commerce app using React, Node, and MongoDB for users to post products they want to sell. Includes Express routes for users to post images that are hosted on Cloudinary, user and product data stored in a MongoDB database, and responsive design created with Tailwind CSS. The project took about 15 hours to complete and, while currently not hosted, the source code is available through the GitHub link above.

Let’s Eat:                              github.com/a-breezy/LetsEat

Restaurant randomizer using the Yelp Fusion API and Google Maps to suggest a restaurant to a user within a given vicinity. If the user would prefer another restaurant they can re-search, or if they’re happy with the chosen restaurant they can save it using localStorage. Bulma and jQuery were used for the UI while Axios and CORS were used to make seamless calls to the Yelp API. The project took about 8 hours to complete and the source code is available through GitHub link above.

EXPERIENCE

Bartender and Server, Red Hook Tavern, Brooklyn, NY       May, 2024 – Current

• Collaborated with back-servers to produce $1,500 to $3,000 in sales revenue each service
• Conducted prompt and efficient service, often serving 60 to 100 guests in a four hour service
• Communicated wine and beverage knowledge to increase profit by selling expensive bottles of wine and cocktails

Mixologist and Bartender, Contra, Lower East Side, NY       May 2021 – February 2022, Sept – Nov 2023

• Created cocktail menu to reflect chef’s food while maintaining Michelin Star standards
• Implemented ‘mini cocktail’ series, increasing check averages by 20% 
• Contributed $1,500 to $2,400 in sales revenue each night 
• Facilitated team discussions on beverage education and sales strategies, driving sales and team cohesion