Frame the problem
Find the decision, constraint, and person at the center.
Open to AI product internships · Summer 2026
I turn complex AI ideas into useful, human-centered tools.
I’m Maya Patel, a computer science student exploring machine learning, data products, and the careful design choices that make technology worth trusting.
Current focus
Trustworthy AI study support
Designing tools that explain their sources and make room for user judgment.
How I work
Curious in the research, practical in the build.
I combine technical prototyping with user research so each decision is grounded in a real need, not just a new capability.
Prototype with care
Make the smallest useful thing, then test assumptions early.
Learn in public
Share evidence, trade-offs, and the next question to answer.
Selected work
Projects built around real questions.
Toolkit
Technical range, clear point of view.
The tools change. My priorities stay consistent: understand the context, make the work legible, and test what matters.
Build
- Python
- TypeScript
- React
- SQL
- FastAPI
Investigate
- User interviews
- Usability testing
- Experiment design
- Data storytelling
Design responsibly
- AI evaluation
- Privacy patterns
- Accessible interfaces
- Model transparency
Let’s make something useful