About
A bit about me and what I'm working on.
Hi, I'm Pranav
I'm a double major in Computer Science and Artificial Intelligence at Purdue, on the Machine Learning track. Most of my coursework is in systems and theory right now — C, data structures, discrete math, linear algebra — with ML coming up as I get further in.
Most of my outside-of-class time goes to side projects. I tend to pick ones that force me to learn something I don't already know — designing a database schema, writing an async proxy, deploying a service, or making a complex workflow feel immediate and clear on both touch and desktop. I treat motion, feedback, accessibility, and responsive behavior as part of the engineering, not polish added after the product works.
Technical Skills
Python
FastAPI, SQLAlchemy, pytest
C
Systems programming
Java
JavaFX, Algorithms
Databases
PostgreSQL, Redis, SQLite
Web & Interaction
Next.js, React, responsive UI, accessible motion
AI Integration
Google Gemini, prompting
Tools
Git, Docker, GitHub Actions
Deployment
Render
Experience & Leadership
Undergraduate Teaching Assistant, CS 180
Purdue University, Dept. of Computer Science
Jan 2026 — Present
Instruct 60+ students in Java, recursion, and object-oriented programming through weekly labs and office hours, and designed an exam review session targeting the highest-error topics.
Relations Lead, Claude AI Builder Club
Purdue University
Sept — Dec 2025
Led outreach to 200+ students and co-organized an 80+ participant hackathon — coordinating speakers, logistics, and promotion for Claude-focused workshops on prompt engineering and LLM app development.
Education
B.S. Computer Science & Artificial Intelligence
Purdue University · ML Track
Aug 2025 — Dec 2028
Dean's List & Semester Honors — Fall 2025, Spring 2026.
Currently
Shipped ClubLadders, a live Elo-rating platform for club sports (Next.js + FastAPI) now piloting with four clubs, with a logistic-regression model for win-probability predictions. Also built Gatekeeper, an async API gateway in FastAPI. Working through Andrew Ng's Machine Learning Specialization on the side.