Kuvirima Ethel

I'm building practical AI solutions for healthcare, including LapAI, a laparoscopic surgery assistant that processes medical images and video in real time to support clinicians in low-resource settings.

As Lead Developer for LapAI, I engineered machine learning classification pipelines for diagnostic support and earned 2nd Place globally at the Harvard Health Systems Innovation Lab Hackathon.

I'm also advancing VITA-Link, an offline-capable, voice-activated clinical triage system for community settings. My research focuses on audio processing workflows and localized dialect integration to streamline patient intake and prioritize emergency care.

During my Machine Learning internship at AnalystLab Africa, I applied data science and machine learning to real-world datasets, delivering clean data pipelines and model evaluations while collaborating with technical teams to refine predictive performance.