Lauren Palega

Built a full-stack mobile application using React Native, Python (Flask), MongoDB, and Firebase Authentication. Engineered a data ingestion pipeline to fetch and normalize event data from multiple external APIs into a unified schema. Implemented a machine learning text classifier in Python to automate event metadata tagging. Worked in Agile sprints using a Git feature-branch workflow for iterative development.

Developed front-end features for 8 clients using Shopify Liquid, JavaScript, HTML, and CSS. Built reusable and configurable theme components with dynamic content and styling options. Translated marketing designs into responsive web interfaces. Coordinated with marketing and technical leads in English and Spanish to align front-end solutions with client requirements.

Engineered a Java-based ride-service simulation platform using object-oriented design principles. Applied Factory, Strategy, and Observer design patterns to decouple vehicle creation, service behavior, and event handling. Designed and iteratively refined the system architecture using UML class, sequence, use-case, and domain models across multiple development sprints. Implemented probabilistic simulation logic to model dynamic ride-service behavior.