I built my first computer at age eleven. In May 2023, I graduated cum laude (3.93 GPA) from the University of Maryland Honors College earning a B.S. in Computer Science and minor in Cybersecurity.
I am an eternal tinkerer, fascinated by the practical applications of generative AI. When I'm not coding, you'll find me running, reading, climbing, cooking, hiking, biking, listening to music, hanging out with friends or traveling. Often at the same time.
ariqbailey@me.com | D.C. area | phone # in resume
c#, javascript, sql server, python | sveltekit, stripe, pocketbase, openai | tailwind, bootstrap, css
computer and network security, data science, machine learning, human computer interaction, advanced algorithms, natural language processing, penetration testing
inquisitive; insightful; earnest
contribute to a 500% increase in revenue generated through payment processing
spearhead the reconciliation of Stripe and Enterprise data, ensuring financial accuracy and seamless integration across systems
mentor associate through complex projects, improving team productivity and knowledge transfer
built Stripe eCommerce platform for $28B company, facilitating secure payments at scale
led the SEPA payments integration, upgraded the Stripe SDK, and architected APIs (C#/SQL) to provide subscription data for Homes.com and LoopNet teams
enhanced platform stability with Python integration testing, ensuring smooth operation for a high-traffic environment
extended a C# engine for translating JSON to Elasticsearch DSL, enabling advanced search functionalities to improve financial data access
designed a generic method using lambda expressions, allowing multi-field searches and improving financial data access
added support for boost values, nested queries, and boolean operators, significantly increasing data retrieval speeds compared to previous join-heavy SQL queries
developed secure C# endpoints for contract upload/download, integrating JWT authentication for enhanced security
created an Angular/C# utility utilizing Adobe Sign API, displaying information for 10,000+ users, and maintained OAuth access token hydration with a singleton service
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
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
led community park revitalization working with scouts, adults, and local government
facilitated recruitment for two semesters, replacing 1.5x the members aging out, built a dependable committee, ran outreach events and communication workshops