AI & Machine Learning Engineer | AI in Healthcare Specialist
At the forefront of the AI revolution in Africa β building intelligent systems that improve lives.
- π€ Develop AI-driven solutions with real-world impact
- π§ Apply machine learning in healthcare (mental health, diagnostics, system optimization)
- π Build scalable full-stack applications and RESTful APIs
- π― Design user-centered, data-driven systems
I am passionate about leveraging AI to transform healthcare and empower communities across Africa.
My mission is to build technology that is innovative, accessible, ethical, and impactful.
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π§ Mental Health Tracker
Full-stack application leveraging data insights to support mental wellness -
π₯ Health Appointment API
Scalable backend system for managing healthcare scheduling and workflows -
π Client Dashboard
Business intelligence tool for data visualization and decision-making
Languages:
Python | SQL | JavaScript | TypeScript
Machine Learning & AI:
Scikit-learn | TensorFlow | PyTorch | Keras
Pandas | NumPy | Matplotlib | Seaborn
AI in Healthcare (Specialization):
Data preprocessing | Predictive modeling | Time-series analysis
Model evaluation (ROC, Precision/Recall)
Healthcare data systems & interoperability (FHIR basics)
Backend & APIs:
Node.js | Express | FastAPI
REST APIs | Microservices
Data & Databases:
MongoDB | PostgreSQL
Data Pipelines | ETL Processes
MLOps & Deployment:
Docker | Git | CI/CD
Model deployment (APIs, cloud-ready services)
Cloud & Tools (Familiarity):
AWS (S3, EC2) | Google Cloud (Vertex AI basics)
Other:
System Design | Agile Development | Version Control
- Applying AI in healthcare systems
- Building intelligent, scalable products
- Exploring deep learning & predictive analytics
- πΌ LinkedIn: https://www.linkedin.com/in/emmanuelenzeyi/
- π§ Email: enzeyisiema@gmail.com
"Building AI solutions that matter β for people, for Africa, for the future."