Goran Babarogic Product UX Designer

Technical Projects

I learned about the power of technology in creating impacts in the world when I attended my first hackathon at Uber's SF headquarter. Currently, I am studying Web Development, iOS Development, and Machine Learning.

Frontend Engineering

Stanford Impact Lab on Accessible Education (SILAE) Tool.

πŸ’‘ Created a community engagement tool for the San Francisco Unified School District (SFUSD) on its resegregation and new policies

🌐 Designed, prototyped, and programmed the tool from scratch using Figma, React, Node.js

πŸ‘‰ Gathering feedback from ~3,500 elementary schoolers' families to improve the tool

SILAE Website

Stanford's Course Selection Website.

πŸ’‘ Working as a Frontend Engineer selected out of a pool of Stanford students

🌐 Implement the frontend of Carta, a Stanford course selection website used by >95% of Stanford undergraduate students, using React

πŸ‘‰ Program new features in preparation for the latest release of Carta v3.0

Stanford Carta

TreeHacks 2025 Website.

πŸ’‘ Leading Stanford TreeHacks, the largest collegiate hackathon in the US with 1600+ hackers

🌐 Developed TreeHacks 2025 website with React, Node.js, Typescript, HTML, CSS
πŸ‘‰ Implemented parallax scrolling and other styling components

TreeHacks 2025

Machine Learning

Golden's In-App AI Companion.

πŸ’‘ Fine-tune LLMs to curate the tone of voice and behavior of an AI chatbot for Golden’s iOS and Android mobile application

🌐 Will implement the frontend UI of the AI chatbot in React Native

Golden Website

Relationship Between Diet Types and COVID-19 Rates.

πŸ’‘ Used World Bank API to pull data, performed data cleaning, used Grid Search CV for model selection, and analyzed model performance using Python, Scikit-Learn
🎀 Presented to ~100 fellow classmates, course assistants, and professors

TreeHacks 2025

Electrical Engineering

Automatic Car Crash
Sensing and Reporting.

βœ… Created a product, Savus, using ESP32 Feather, accelerometer, Firebase Cloud Function, and Twilio API/Programmable Voice to automatically detect car crashes and report them to first-responders and emergency contacts.
🎀 Presented it to 100+ audience on the final day
πŸ† Won Best Business Award out of 15 teams, bestowed by Wharton Professor Babin and UPenn Engineering Professor Deliwala

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