I’m a software engineer with a background in computer science and hands-on experience building applied AI systems across healthcare, environmental risk, and interactive simulations.
I care about using AI to make complex systems understandable, safer, and more humane—especially in health, infrastructure, and science education.
- Panacea’s Passage
Flood-aware hospital routing system combining geospatial data, AI agents, and real-time risk analysis - CLAIRITY
Mobile app translating air-quality and environmental data into personalized health guidance - Project V.I.E.W. (NASA Space Apps)
Educational Godot-based simulation exploring astronaut training and space observation
- Applied machine learning & model evaluation
- Computer vision and medical imaging workflows
- AI agents and decision-support systems
- Research communication & reproducibility (clean notebooks, structured repos)
- AI in healthcare & clinical decision support
- Risk prediction and early warning systems
- Interpretable ML for high-stakes domains
- Human-centered AI design
Languages: Python, C#, JavaScript
ML/Data: scikit-learn, pandas, NumPy, PyTorch
Web & Systems: Flask, FastAPI, React, .NET, Docker
Tools: Git, GitHub, Kaggle, Godot, Arduino
I’m open to:
- Research-oriented collaborations
- Hackathons and applied AI projects
- Building tools that sit between research and real-world use
- GitHub: https://github.com/Jemimahh
- LinkedIn: (Jemima Egwurube)
⚡ Fun fact: I like to build things.