University of Massachusetts Amherst
Masters of Science Expected Graduation: Dec 2026
Major: Computer Science
Starting my MS in Computer Science this Fall 2025
Aryan Tipnis
Software Developer | Incoming MS in CS @ UMass Amherst
Actively seeking Spring 2026 Co-ops and Summer 2026 Internships. Feel free to reach out to me with opportunites, collaboration, or just to chat.
University of Massachusetts Amherst
Bachelors of Science Sept 2021 - May 2025
Major: Computer Science
Minor: Business
GPA: 3.72 / 4.0
Coursework: Data Structures & Algorithms, Software Engineering, Artificial Intelligence, Machine Learning, Web Development, Search Engines.
SKILLS
Languages
Python, Java, C#, C++, JavaScript, Typescript, Kotlin, HTML
Databases
SQL, MongoDB (NoSQL)
Frameworks & Libraries
React, Node.js, Flask, Spring Boot, LangChain, TensorFlow, NumPy, Pandas, Scikit-learn
Web and Cloud Technologies
REST APIs, Microservices, AWS, Docker
Other tools
Git, GitHub, Postman, Android Studio, XCode, MS Excel
Experience
I'm a passionate Software Developer with experience building scalable web and mobile applications using React, Android Studio, Spring Boot, REST APIs, and Python. I enjoy working across the full stack, and bringing ideas to life through clean, reliable code.
ALT Lab: Undergraduate Research Assistant
Ariadne Labs: Science and Technology Intern
Bitwise: Solutions Engineering Intern
Build UMass: Product Manager
Keva Health: Software Engineering Intern
Umass Amherst: Undergraduate Course Assistant
Umass Amherst: Undergraduate Teaching Assistant
Projects
UMass Droplet App
Led a team to build an iOS app that navigates the users to find nearby water stations on the UMass Amherst campus.
Integrated real-time user location tracking and water consumption tracking features.
Technologies used: Swift, Java, Firebase, Flask, SQL
Wearable Learning App
Developed, optimized, tested an Android App to support embodied math learning in children through interactive UI
components, while improving data collection for on-going classroom studies.
Technologies used: Kotlin, Android Studio
Breast Cancer Classifier
Developed a neural network to classify breast cancer using a medical dataset, achieving over 90% testing accuracy. Preprocessed
data, handled missing values, and evaluated performance using confusion matrices and ROC curves.
Technologies used: Python, Numpy, Pandas, Scikit-Learn, Matplotlib
Step Counting Algorithm
Coded a counter that can count steps using real-time accelerometer data from a wearable device. Applied signal processing and
pattern recognition techniques to classify activities and improve accuracy.
Technologies used: React, Python, Javascript
Music Genre Classifier
Worked with a team to develop a machine learning model to classify music genres. Extracted and analyzed audio features from
a diverse dataset and fine-tuned algorithms for optimal performance.
Technologies used: Python, TensorFlow