I'm a Computer Science sophomore at the University of Maryland, specializing in Machine Learning, with hands-on experience building production systems (currently used by thousands of UMD students and faculty) and applied ML projects ranging from logistic regression to CNNs.
I focus on bridging the gap between theory and execution—building production systems serving thousands of users alongside applied ML projects using Scikit-Learn, Pandas, and Neural Networks. I'm working toward a career as an Applied Machine Learning Engineer, creating models that are technically rigorous and reliable enough to trust in the real world.
Outside of engineering, I throw ceramics and run youth cultural dance programs across the DMV. All are different mediums, same instinct: take a raw idea and shape it into something real.
🔗 Portfolio: aanchalpuri.github.io/portfolio
💡 Targeting: Applied Machine Learning, Data Science/Analytics & Software Engineering Roles
| project | what it does | stack |
|---|---|---|
| 🏛️ UMD Libraries IP Manager | Production access-control system migrated from Ruby on Rails to Django, now live for thousands of UMD students and faculty | Python, Django |
| ☀️ Weather App | Real-time weather lookup built on a public API | JavaScript, API |
| 🔍 Image Search Engine | Image search and retrieval tool using an external API | JavaScript, API |
Full write-ups, live demos, and additional projects are available on my portfolio site.