I am Carlos Karpati, 29 years old, resident of Bethesda, Maryland. I have an MS in information systems from UMBC (May 2020).

Learn more at https://charleskarpati.com

Summary:

I took my first programming class at the age of 14. After recieving my BS in Information Systems (IS) at UMBC I went immidately for my MS in IS while working full-time as a developer at the University of Baltimore (UB)'s BNIA-JFI. Later, I started working for Voxels.com - an Ethereum based virtual world (3D) where users create their own assets and own their own property. Now, I am the cofounder of Addy-AI; an AI that can draft-emails.

Should you have any questions or concerns, I am only a text away: 301-300-4728 (or through [email protected]).

Thanks for reading!

Carlos

Past Works:

@ Addy AI

Addy-AI and Venture Bridge Logo Proudly Backed by the Swartz Center for Entrepreneurship Promotional image for Addy-AI's LangDrive feature. Another promotional image for Addy-AI's LangDrive. Langdrive: Built for Developers. One more promotional image for Addy-AI's LangDrive.

@ Voxels

• A lot of what I worked on was in-game. I mostly fixed bugs and the UI, but put in a few features like video streaming, POAP's, and user-user crypto payments.

Voxels.com Logo. Logo of CV Minigames, a contributor-made fanpage Image from Voxels.com showcasing a virtual village.

@ BNIA-JFI

BNIA-JFI's Logo.

• I created, or modified just about everything in this repository. It includes 150+ python scripts to process and raw data and create quality of life indicators, to scrape databases, websites, and more.
• I also taught data science and created pedagogical python libraries: 5, 7, 8.
• And managed or made countless analytical websites. References: 1, 2, 3, 4

BNIA-JFI's Homepage. Mapping water usage in the city. Baltimore Open Land Data: A legal tool to study vacancies and foreclosures. Business Integration Partnership: Minority business search portal. Longitudinal Neighborhood Data. Comparison of Neighborhood Data.

Independent

Animated GIF of a lighting effect in a web-based mesh. A 3D printed map of Baltimore. Dynamically generated using census data. Heights represent the percent of households with no internet. Code on ObservableHQ

cd ./node_modules/react-snap npm install puppeteer@latest puppeteer_utils.js:215 - await page._client.send("ServiceWorker.disable"); to const client = await page.target().createCDPSession(); await client.send('ServiceWorker.disable');

// process.removeListener("SIGINT", onSigint); process.off('SIGINT', onSigint); // process.removeListener("unhandledRejection", onUnhandledRejection); process.off('unhandledRejection', onUnhandledRejection);

// page.removeListener("request", onStarted); page.off("request", onStarted); // page.removeListener("requestfinished", onFinished); page.off("requestfinished", onFinished); // page.removeListener("requestfailed", onFinished); page.off("requestfailed", onFinished);