Noah Arooji

Charlottesville, Virginianoaharooji@gmail.comlinkedin.com/in/noah-aroojiwww.noaharooji.com

EducationClick to focus

The University of Virginia, College of Engineering and Applied Sciences

Expected May 2027

Bachelor of Science Computer Science, Bachelor of Arts Applied Statistics

GPA: 3.80 / 4.00
Relevant Coursework: Data Structures and Algorithms, Computer Systems & Organizations, Software Engineering, Software Development Essentials, Regression Analysis, Mathematical Statistics

Technical SkillsClick to focus

Languages:Java, C, Python, JavaScript/TypeScript, R, SQL, HTML, CSS, MATLAB
Frameworks:React.js, Next.js, Node.js, TailwindCSS, NumPy, PyTorch, Pandas, REST APIs, OOP, Mockito, Git, Agile
Certifications:2025 Oracle Cloud Infrastructure (OCI) Foundations, 2025 Oracle AI Foundations Associate, CITI Researcher

ExperienceClick to focus

Mythics

May 2025 – August 2025

Software Engineer Intern

Virginia Beach, VA
  • Led a cross-functional team of 5–10 through development of a full-stack client prospecting tool surfacing 20+ high-quality business leads per run and $1M in generated business pipelines
  • Contributed 600+ lines of code for a client insights dashboard using React.js (Typescript) emphasizing reusable components and maintainable state management
  • Architected data ingestion and enrichment with REST API endpoints leveraging Express.js and Oracle ADW to fetch 50,000+ records in sub 600ms latency

UVA School of Data Science

April 2025 – Present

Machine Learning Researcher

Charlottesville, VA
  • Built an automated data pipeline using BeautifulSoup and Selenium, extracting 3000+ records in 8 minutes, down from 3 hours, resulting in 95.6% increased efficiency
  • Designed Python anomaly-detection utilities with aligned time-series embeddings, leveraging PyTorch and Pandas causing removal of 30+ insufficient time series datasets
  • Engineered Python utilities and automated time series preprocessing workflows leading to 45% improved model training performance

UVA Collaborative Robotics Lab

January 2025 – June 2025

Machine Learning Researcher

Charlottesville, VA
  • Managed the development of Llama-3 powered AI speech-to-text and text-to-speech, enabling human-robot communication, improving interaction latency by 25%
  • Implemented an intuitive GUI enhancing robot responses and blocking hallucinations, while maintaining sub-300ms response times between participants and robots
  • Led the modularization of ROS2 nodes for LLM-based communication, lowering integration time by approximately 40%

Projects / LeadershipClick to focus

PromptLite

[Devpost]
March 2025

React.js, TailwindCSS, Vite, Chrome API

  • Built a Chrome Extension using React.js, TailwindCSS, and Vite, reducing user ChatGPT token waste by 30% while visualizing users sustainable AI usage patterns
  • Implemented lightweight data persistence using the Chrome Storage API, locally caching token counts and prompt metadata for real-time efficiency tracking
  • Rendered dynamic data visualization modules with Recharts, transforming token-level logs into clear trend insights on user efficiency and sustainability

Recipe Macro Tracker

November 2024

Expo, React.js, Flask, Google Vision OCR, Amazon AWS

  • Engineered a full-stack macronutrient tracking application using React.js, Flask, and Expo, supporting cross-platform deployment for web and mobile clients
  • Deployed and managed the application on AWS EC2 with S3 storage, integrating RESTful Flask APIs for real-time nutrient computation and user authentication
  • Scaled backend services to reliably handle 100+ active users, improving request latency and data synchronization across devices

UVA Personal Trainer

January 2025 – Present

Personal Trainer

Charlottesville, VA
  • Guided over 20 clients through 100+ personalized sessions, breaking down complex goals into actionable steps for long-term client growth
  • Constructed measurable performance metrics, increasing program adherence and goal completion by 25%