Parth Kotwal

About Me

Hello, I'm Parth, a Computer Science student at the University of Washington, Seattle, with a fiery passion for data, machine learning, and using CS to address issues that I face personally and then scaling solutions to larger communities. I am currently interested in how ML can be applied in the context of astrophysics and in systems like recommendation engines and predictive models. I’m also fascinated by the systems side of ML, and exploring how low-level computing and GPU optimization can accelerate model performance and efficiency.

In my spare time, I enjoy:

Playing the latest FIFA, Red Dead Redemption 2, and more

Following my favorite football team FC Barcelona

Reviewing restaurants, cafes, and bakeries on Beli!

Expanding my fragrance collection ($n = 8$)

Experience

Machine Learning Researcher

University of Washington SyFI Lab • October 2025 - Present

Software Engineer Intern - Machine Learning

miniOrange • July 2024 - September 2024

Projects

QueQueue

Django Vue.js Scikit-learn AWS (ECR, EC2, S3, RDS, Cloudfront) Docker PostgreSQL

Django + Vue app to save, restore and recommend Spotify queues. Built to address a problem faced by Parth Kotwal everyday

Transient Detection with braai CNN

PyTorch CuPy NumPy Scikit-learn

Custom CuPy/NumPy CNN for astrophysical transient detection. Based on the "Real-bogus classification for the Zwicky Transient Facility using deep learning" paper

Model United Nations Northwest SMS Admin

FastAPI JS PostgreSQL Tailwind CSS

FastAPI + Twilio SMS admin for conference announcements and scheduling. Currently used by the largest Model United Nations conferences in the Pacific Northwest

Automated Stellar Classification

Scikit-learn Pandas NumPy Matplotlib

Random-forest-based stellar spectral classifier with high accuracy and interpretability.

Skills

Languages

Python JavaScript Java R C++ HTML/CSS

Frameworks & Libraries

PyTorch Scikit-learn Django FastAPI Vue.js CuPy NumPy Pandas Matplotlib Tailwind CSS

Tools

Git Linux AWS (Elastic Beanstalk, ECR, EC2, S3, RDS, CloudFront, Bedrock) Docker Jupyter PostgreSQL GCP (Translation API) Twilio Twilio Visual Studio Code