Headshot

Alysa Vega

she/her


About Me

Hi! I'm Alysa Vega, a recent Computer Science graduate from Hunter College with a minor in Media Studies. I am an experienced Computer Science educator with Kodely, as well as a current Software Engineer Intern at The New York Stem Cell Foundation.

I specialize in Python, C++, Typescript, and React and have experience with full-stack web development, data science, and video game development. I am incredibly passionate about video game programming and would love to break into the industry!

I am currently open to fall/winter internship opportunities as well as full-time work. Connect with me on LinkedIn!

Icebreakers:

  • Favorite Film : Christopher Nolan's Interstellar
  • Favorite Book : Dark Matter by Blake Crouch
  • Favorite Game : Horizon Zero Dawn

Education

BA in Computer Science, Minor in Media Studies

May 2025


CUNY Hunter College, New York, NY

3.90 GPA

Graduated Summa Cum Laude with Departmental Honors and Dean's List

Software Analysis & Design

Data Structures

Computer Architecture

Operating Systems

SQL Database Management

Concepts in Gaming

Skills

Languages


Python Logo
Python
C++ Logo
C++
TypeScript Logo
TypeScript
SQL Logo
SQL
JavaScript Logo
JavaScript
HTML5 Logo
HTML5
CSS3 Logo
CSS3

Frameworks and Tools


Git Logo
Git
React Logo
React
Flask Logo
Flask
Pandas
MySQL Logo
MySQL
Django Logo
Django
Bootstrap Logo
Bootstrap
Experience

Software Engineering Intern

The New York Stem Cell Foundation


  • Selected for a competitive internship learning about stem cell research and working collaboratively alongside biologists, project managers, IT specialists, and operations experts
  • Using the full stack to develop NYSCF's custom LIMS web application using C#, Typescript, React, and SQL to optimize use of lab resources and improve quality of life for scientists

TypeScript

JavaScript

React

C#

Git

Data Science Fellow

CUNY Tech Prep


  • Selected for a competitive data science fellowship to create technical projects using Python, Jupyter Notebooks, Pandas, Numpy, Scikit-learn, and SQL
  • Participate in weekly courses for exploratory data analysis (EDA), feature engineering, data processing, statistical modeling, data visualization, machine learning techniques, and big data

Python

Jupyter Notebooks

Pandas

NumPy

Git

Scikit-learn

LLMs

Information Theory

Machine Learning

Kodely Leader

Kodely


  • Led 6 workshops on game design, coding, and app dev for K–5 students, concluding in final projects and parent showcases to strengthen tech literacy and design thinking skills
  • Facilitate workshops using Microsoft Makecode Arcade and micro:bit, Minecraft Education, and MIT App Inventor

Leadership

Education

Communication

Problem Solving

Game Design

Tech Developer Intern

Sponsors for Educational Opportunity


  • Completed 300+ hours of computer science and software engineering training focused on data structures, algorithms, and full-stack web development
  • Designed, tested, and implemented full-stack web application using Python, Flask, and MySQL and frontend interface using HTML, JavaScript, and CSS

Python

JavaScript

MySQL

Flask

HTML

CSS

Django

Bootstrap

Git

Web/Mobile App Developer Intern

Tech Incubator at Queens College


  • 100+ hours of experience in web/app development through personal and client projects
  • Built apps using JavaScript, React Native, JavaScript, HTML, CSS, Wordpress, MyWebAR, and Glide

JavaScript

React Native

HTML

CSS

Wordpress

MyWebAR

Glide

Projects

Sept – Dec 2024


  • Video game review web application that allows users to create profiles to review and log games, and add friends to view user activity; built using React, Python, Typescript, HTML/CSS, and Google Firebase
  • Worked in team of 5, personally worked on backend Python API calls and helpers as well as frontend React and TypeScript backend game fetches and styling; collaborated using Git and Asana

React

TypeScript

Python

Firebase

API

HTML

CSS

SQL

Git

Full-Stack

Oct – Dec 2024


  • Application to maximize efficiency when playing Wordle through predictive modeling, sentiment analysis, random forest regressors, and retrieval techniques for an interactive user experience
  • Worked in team of 3, personally implemented "Wordle" tab using Python, Streamlit, Pandas, NumPy, Pygame, and information theory

Python

Streamlit

Hugging Face

Pandas

NumPy

Pygame

Information Theory

July 2023


  • Interactive “What’s in my fridge?” web application that finds and displays recipes based on user-inputted available ingredients
  • Worked in team of 4, personally implemented backend API fetching and routes, unit testing on Git, and deployment

Python

HTML

CSS

API

Flask

Django

SQLAlchemy

PythonAnywhere

Git