about me.
I built my first computer at eleven. In May 2023, I gratuated cum laude from the University of Maryland with a degree in Computer Science and minor in Cybersecurity. Tinkerer, runner, reader and AI enthusiast.
ariqbailey@me.com | D.C. area | phone # in resume
skills.
computer
c#, typescript, sql, python, java | sveltekit, stripe, pocketbase | tailwind, bootstrap, css
relevant classes
object-oriented programming, discrete structures, computer systems, advanced programming languages, algorithms, applied probability and statistics, linear algebra, computer and network security, data science, machine learning, human computer interaction, advanced algorithms, natural language processing, penetration testing
me
inquisitive; insightful; earnest
projects.
experience.
costar group
july 2023-present
build and mantain Stripe eCommerce platform with $10MM annual subscription revenue
updated legacy C# Stripe SDK to current version
developed integration testing to ensure eCommerce platform stability
costar group
june 2022-august 2022
extended C# engine translating JSON to Elasticsearch DSL
enabled searches against multiple fields by creating a generic method using lambda expressions
introduced support for boost values, nested queries, and boolean operators
drastically increased company-wide financial data access speeds
costar group
june 2021-august 2021
coded C# endpoints for contract upload and download; secured using Json Web Token
built a responsive UI using Angular/C# to test previous tokenization API
built an Angular/C# utility using Adobe Sign API to display info for 10,000+ users
created an injectable singeton service to maintain hydration of OAuth access token
jewish federation of princeton mercer bucks
july 2019-june 2021
wrote Java programs to help manage clientele database of 800+
consolidated and pruned data from Blackbaud eTapestry reports
implemented Apache POI Library to generate excel spreadsheets
roundview capital
summers 2016 and 2018
built a leveraged buyout calculator application in Java for company clientele
compiled stock data from Bloomberg, IEX, and Alpha Vantage
implemented multivariate regressions in Python using scipy and statsmodels libraries
delta upsilon
december 2020-november 2021
facilitated recruitment for two semesters with 150% rate of replacement, built a dependable committee, ran outreach events and communication workshops
