Megana Kurugodu
builds pipelines that turn
messy data into decisions.

I'm a third-year Computer Science student who likes taking something manual and slow — reading a contract, checking prices, running a script by hand — and rebuilding it as an automated system. Most of my work sits at the intersection of Python, LLMs, and workflow automation: extracting structure from unstructured documents, wiring up event-driven pipelines, and shipping bots people can actually talk to. I'm looking for an internship where I can do that at a larger scale.