about me.

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

skills.

computer

c#, javascript, sql server, python | sveltekit, stripe, pocketbase, openai | tailwind, bootstrap, css

advanced coursework

computer and network security, data science, machine learning, human computer interaction, advanced algorithms, natural language processing, penetration testing

me

inquisitive; insightful; earnest

current projects.

an AI platform for small to medium sized businesses serving 300 users. itus gives organizations a real time pulse on departmental direction and employee ai adoption. built with sveltekit, pocketbase, openai, and dokku. click here to learn more

experience.

costar group

software engineer

sep 2024-present

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

associate software engineer

july 2023-sep 2024

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

technology intern

summers 2021 and 2022

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

past experience.

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

leadership.

eagle scout

aug 2019

led community park revitalization working with scouts, adults, and local government

delta upsilon

recruitment vp

december 2020-november 2021

facilitated recruitment for two semesters, replacing 1.5x the members aging out, built a dependable committee, ran outreach events and communication workshops

© Ari Quartner Bailey 2024 | Coded by hand and hosted on my Raspberry Pi