Parth Kotwal

CS @ UW · ML Systems

About Me

Hello, I'm Parth, a Computer Science student at the University of Washington, Seattle, with a fiery passion for machine learning systems. I’m currently interested in recommendation systems and in developing fail-safe, multi-turn agents through my work at the UW Computer Systems Lab.

In my spare time, I enjoy:

Playing the latest FIFA or badminton

Following FC Barcelona

Reviewing restaurants, cafes, and bakeries on Beli

Expanding my fragrance collection ($n = 14$)

Experience

Incoming Software Engineer Intern

Infoblox • June 2026 - August 2026

Machine Learning Researcher

University of Washington Computer Systems Lab • October 2025 - Present

Software Engineer Intern - ML

miniOrange • July 2024 - September 2024

Projects

Olds

Go FastAPI React PostgreSQL + pgvector Docker spaCy

A news site with a recommendation system that tracks both user interactions and content similarity. Inspired by my childhood routine of reading only the newspaper sections that interested me every morning

QueQueue

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

Django + Vue app to save, restore and recommend Spotify queues easily. Addresses a personal trauma of losing the ideal Spotify queue on many occasions

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

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

Automated Stellar Classification

Scikit-learn Pandas NumPy Matplotlib

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