Aditya Dhanani

US Citizen - 908-239-7362 | ad2009@scarletmail.rutgers.edu | linkedin.com/in/adityadhanani | github.com/adhanani05

Education

Rutgers University - New Brunswick

Bachelor of Science in Computer Science

New Brunswick, NJ

exp. May 2027

Relevant Coursework: Roadmap to Computing (Python), Intro to Computer Science, Calculus I-II, Linear Algebra, Data Structures, Discrete Structures

Experience

Founder

Syphon Studio LLC

April 2025 – Present

Developed and launched 2 iOS apps utilizing Swift & React Native, achieving over $20K in ARR within 2 months, driving significant revenue growth with 4,000+ installs and a 33% paid conversion rate.
Leveraged Firebase to manage and analyze over 100+ daily chats, utilizing data extraction techniques to drive decision-making and sentiment analysis, enhancing user engagement and satisfaction by close to 20% weekly.

Software Engineer Intern

ACM at NJIT

Sep. 2024 – March 2025

Designed and developed a REST API for a course schedule builder used by 9,000+ NJIT students, utilizing Python and MongoDB to handle CRUD operations and ensure seamless data management.
Optimized database queries and API response times by 35% through indexing and caching strategies, and implemented CI/CD pipelines to streamline deployment processes.
Integrated Hugging Face Transformers and PyTorch to build an AI-driven search engine, improving course search functionality and user satisfaction by leveraging advanced machine learning techniques.

Projects

CourseGURU: HackRU 2024

React, Flask, MongoDB

Architected an AI-powered course scheduling application leveraging React, Tailwind, and RateMyProfessor API to generate optimized, personalized recommendations using Reinforcement Learning.
Engineered a high-performance Flask/MongoDB backend with vector-based retrieval, achieving a 30% faster data retrieval and AI schedule generation time, while enhancing data accuracy by 20% using GraphQL and Pandas.

Kira: Crypto & Stock Trading Bot

Python, yfinance, Alpaca API

Engineered a stock trading application using Python, yfinance, and the Alpaca API to execute trades and manage my paper portfolio.
Implemented a Momentum-Based Mean Reversion strategy with ML Filtering to optimize trading decisions and improve profitability.
Integrated real-time data analysis and machine learning models to provide dynamic trading insights resulting in a 40% profit in my portfolio.

Multithreaded Web Server

Rust, Docker, Terraform

Deployed a multithreaded web server using Rust, capable of handling multiple TCP connections concurrently.
Implemented a thread pool to improve server throughput and manage incoming requests efficiently.
Utilized Docker for containerization, ensuring consistent deployment environments and simplifying the setup process.
Employed Terraform for infrastructure as code, enabling automated and scalable deployment of the web server.

Skills

Languages: JavaScript, Python, Java, SQL, HTML/CSS, Swift, React Native, Rust, Bash

Frameworks: React, Node.js, Express, Flask, MongoDB, PostgreSQL, Git, Tailwind CSS, AWS, TensorFlow, PyTorch, Pandas, Docker, Terraform, Scikit-Learn, Git, Unix, Jupyter

Tools: VS Code, GitHub, Docker, Jira, Postman, Firebase, Stripe, Hugging Face, yfinance, Alpaca