About Me

Hi, I'm Jonah Rothman, a student at Boston University pursuing a BA/MS in Computer Science with a minor in Economics. I specialize in web development and AI, with experience in QA automation, full-stack development, and CI/CD pipelines. I've built production applications like The Study Buddy and VibeScape, and completed internships at PanelClaw and ClearWatt. I'm passionate about creating scalable software solutions and exploring new technologies.

Skills

Expierence

Education

  • Programming Languages
    Java, Python, C/C++, JavaScript, TypeScript, Kotlin, OCaml
  • Web Development
    React, Next.js, Express.js, Node.js, HTML/CSS, TailwindCSS
  • Tools & Platforms
    GitHub Actions, MongoDB Atlas, Microsoft Azure, Firebase, Cypress, Jest, Maestro
  • Junior Front End Development Intern
    PanelClaw (May 2025 – Aug 2025)
    Led Cypress QA automation, reducing test time from 1 day to ~1 hour
  • Software Development Intern
    ClearWatt (Feb 2025 – Apr 2025)
    Built first automated testing suite using Maestro and Azure DevOps CI/CD
  • Information and Technology Intern
    First Cambridge Realty
  • Assistant to The Director
    Massachusettes Housing Coalition
  • Boston University
    MS & BA Computer Science, Minor in Economics
    2022 - Dec 2026 | GPA 3.73, Dean's List (all terms)
  • Thayer Academy
    2018 - 2022

Projects

Top Projects

01
Study Buddy
Idea to deployment of web app. Project manager and developer.
02
MealMap
Android development focus on nutrition and planning.
03
Java Terminal Engine
Software design with OOP and design patterns.
Top project
December 2025

MealMap

Plan meals, discover recipes, auto-generate shopping lists, log via barcode/planner/custom, and track calories on a dashboard.
Repository View Pictures
  • Built a Jetpack Compose Android app for smart meal planning, nutrition tracking, and shopping list generation using Material 3 design
  • Integrated TheMealDB and OpenFoodFacts APIs with Retrofit, Room, and StateFlow to power recipe discovery, barcode scanning, and persistent weekly meal plans
  • Delivered a real-time nutrition dashboard, onboarding flow, and robust error handling across camera permissions, offline states, and data entry
Collaborator: Abidul Islam
Class: CS501 Mobile Application Development (Fall 2024)
Top project
November 2025

The Study Buddy

Upload notes, generate AI flashcards, play study games, and chat with a course-aware assistant.
Repository Visit Site View Pictures
  • Deployed an AI study platform using React, Vite, TypeScript, and Express backend, running across Azure app services, DigitalOcean, and Google Firebase supporting 50+ users
  • Developed a scalable Express.js backend using Azure Blob Storage for PDF handling and Azure OpenAI to generate flashcards and context-aware subject-specific chat responses
  • Designed a MongoDB Atlas schema with 7 collections, compound indexes, and repository pattern architecture supporting 100+ notes, 50+ flashcard sets, and 200+ chat messages
  • Implemented CI/CD with GitHub Actions for automated builds and deployments
Collaborator: Sean Tomany
November 2025

NBA Team Outcome Prediction

Predicts team scores and winners with a linear regression pipeline on nba_api data, halving error and reaching 0.818 accuracy.
Repository Final Report
  • Modeled NBA team scores and winners using nba_api game logs with a reproducible Makefile-driven pipeline
  • Engineered features for rest days, home/away context, and opponent stats to train and benchmark regression and classification models
  • Achieved strong accuracy and visualized trends with notebooks that output cleaned datasets, predictions, and validation plots
Collaborators: Alim Ackura, Ash Payal, Justin Liu, Shawn Xiang, Jonah Rothman
Class: CS506 Data Science and Applications (Fall 2025)
August 2025

VibeScape

Interactive song map to compare playlists with friends, explore clusters, and generate AI-curated blends and top picks.
Repository Demo Video
  • Built a Next.js and React powered interactive Spotify song map that visualizes a user's library as clusters of songs and playlists with the ability to compare music with friends and create custom blended playlists
  • Created an AI-powered playlist chooser via prompt and designed a unique ranking model for Top Songs
  • Harnessed SOTA AI tools like OpenAI Codex CLI to accelerate development time and enhance the UI/UX
Top project
Sep 2024 – Dec 2024

Java Terminal Game Engine

Play everything from Tic-Tac-Toe to turn-based RPGs in a scalable, pattern-driven terminal engine.
Repository
  • Developed a terminal-based game engine ranging from simple games to complex turn-based gameplay, including DnD-style mechanics
  • Implemented 50+ Java classes to build a scalable, object-oriented architecture
  • Utilized Strategy, Factory, and Singleton design patterns to enhance flexibility and reduce code duplication
Class: CS411 Software Principles (Fall 2024)
August 2024

StockBot

Chat with an AI bot trained on top stocks to get quick investing tips (POC).
Repository Visit Site
  • Constructed a chatbot utilizing the OpenAI API to provide users with stock advice and financial information
  • Integrated economic principles to create stock advice trained on data from 100,000+ stock and price combinations
  • Configured Node.js and Render.com to create a secure local server and backend, ensuring data privacy between client and server
  • Designed an intuitive user interface using HTML and CSS, enhancing user experience and engagement
August 2024

Poker Payout Calculator

Calculate poker payouts and net results for your table in seconds.
Repository Visit Site
  • Created a calculator to find poker payouts and track player net results
  • Streamlined payout calculations, saving users time and reducing errors in real-world poker games
July 2024

Music Guesser Game

Guess the song from short audio clips—my first personal project.
Repository Visit Site
  • Built an interactive music guessing game challenging users to identify tracks based on short audio clips
  • Implemented the Spotify API to fetch Billboard Top 100 songs and dynamically load song data, increasing user engagement
  • Programmed a scoring system in JavaScript to track high scores and give feedback
Sep 2023 – Dec 2023

Rain or Shine

Find nearby events tailored to your date and local weather.
  • Developed a full-stack web application giving users local event recommendations based on location and date
  • Pulled data from RapidAPI and Tomorrow.io API to read local events and weather data
  • Implemented Google OAuth to gather data from user and configured MongoDB connection to store user data
  • Gained valuable collaboration skills by working with a team of four
View All on GitHub

Contact Me

[email protected]

(781) 366 5290

Download Resume