About Me
I am a Computer Science student focused on software, AI, and IoT projects that are useful beyond a demo.
Building Practical Systems
My work spans a disaster-response application, offline weather monitoring, and applied machine learning. I enjoy taking a real constraint—uncertain information, limited connectivity, or a complicated workflow—and turning it into a clear, working system.
I am growing into an engineer who values evidence, useful interfaces, and dependable implementation. That means learning the underlying tools while staying focused on the people and environments a project needs to serve.
Work So Far
- Applied machine learning and information retrieval
- Backend development and deployed applications
- Offline IoT monitoring for rural farming
- Technical events and student leadership