About Me

Hey, I’m Archeet Shah — a Computer Engineering student at Purdue, interested in how intelligence can be built through code. I like understanding systems deeply — how they see, decide, and act.

Recently, I’ve been working on Nova-CUA — a desktop automation agent that uses large language models and GUI grounding to perform real computer actions from natural language. Think of saying “open my notes and email them to my professor,” and watching it happen automatically. I built the control and perception pipeline that lets the agent interpret the screen, plan actions, and execute them safely.

Projects like Nova-CUA and TaskFlow AI have taught me what it means to move beyond demos — building systems that actually work, fail, and improve. I’ve learned to think in pipelines, handle messy APIs, and debug behavior that doesn’t show up in a tutorial.

I care about writing code that’s reliable, clear, and grounded in real problem-solving. My main interests are in software engineering, applied AI, and data-driven systems — anywhere logic meets learning.

I’m currently looking for internships where I can contribute to real AI or software products, learn from strong teams, and keep building systems that make technology feel a little more capable every day.