Work

CarSnap

Sole developer of a mobile app that identifies cars and helps users shop for them from just a picture. Developed using Dart in the Flutter framework, integrated with YouTube Data and MarketCheck Listing APIs. Integrated Gemini model for image analysis, providing make, model, model year, and statistics for pictured cars. Published on both iOS and Android with over 2,000 active users as of June 2025. The app revolutionizes car shopping by allowing users to simply take a photo of any vehicle to instantly get detailed information and find similar cars for sale.

QuickData AI Excel Add-in

Co-led the development of a real-estate Excel add-in from scratch, integrating AI and OCR to intelligently digitize complex T12, rent-roll, and unit-mix documents. Created a screenshot tool in Python that runs in the Windows icon-tray and uses webhooks to communicate with the Excel add-in. Developed frontend and backend using TypeScript and Python, created an installation wizard for EXE files, and certified them with an EV signing certificate and hardware encryption token. Integrated API endpoints for OpenAI, Anthropic, and other models into the Excel add-in while conceptualizing and implementing UI/UX using Figma.

SpartaHack X Winner

Developed an Amazon Echo skill using AWS Lambda, Flask, NextJS, and Render Cloud Hosting that allows users to input any Quizlet set into a website, parses the set with Gemini to turn it into questions, and quizzes the user via their Amazon Echo. Won both the Interactive Media Track and Education Application Track at SpartaHack X, demonstrating innovation in voice-controlled learning technology. The project showcases seamless integration between web technologies and voice interfaces to create an engaging educational experience.

Databricks Hackathon Finalist

Placed 4th out of 56 teams in the Databricks Data + AI Hackathon 2024. Developed a comprehensive real estate advisor platform that leverages Large Language Models to provide personalized recommendations, market analysis, property valuations, and more from a Databricks dataset. The platform demonstrates advanced AI integration for real estate decision-making, combining data analytics with natural language processing to deliver actionable insights for property investors and homebuyers.

Formula Bot Research

Led the data collection and analysis processes for NFL draft analysis with over 10,000 data points while working as an Artificial Intelligence Intern. Co-authored a comprehensive paper demonstrating the results of this analysis, examining which college teams best prepare players for the NFL. Produced video content based on AI data analysis for social media and processed billing information for customers using Stripe. The research provides valuable insights into college football programs and their effectiveness in developing NFL-ready talent.

CrossDuos

A innovative 2-player take on the New York Times Mini Crossword, designed to bring competitive puzzle-solving to friends and family. Built with modern web technologies to provide a seamless multiplayer experience where two players can race to complete crossword puzzles together. The game features real-time synchronization, intuitive controls, and engaging gameplay mechanics that make crossword solving a social activity. Perfect for puzzle enthusiasts looking for a collaborative twist on the classic crossword format.

Daily Word Ladder

My first ever programming project - a simple yet engaging HTML, CSS, and JavaScript word game that challenges players to transform one word into another by changing one letter at a time. Each intermediate step must be a valid English word, creating a puzzle that combines vocabulary knowledge with logical thinking. This project represents the beginning of my programming journey and demonstrates fundamental web development skills while creating an entertaining and educational game experience for word puzzle enthusiasts.

Skills

About

I'm Max Gorman, a 20-year-old software developer from Michigan currently studying Computer Science at the University of Michigan. I'm passionate about building innovative software solutions that solve real-world problems. With experience in full-stack development, mobile app creation, and AI integration, I've worked on projects ranging from Excel add-ins to mobile car shopping apps that identify cars from images. I'm constantly learning and expanding my skills in various programming languages and frameworks, with a particular interest in AI applications and cross-platform mobile development.