Paul Kiama
@paulkiama
I build end-to-end AI applications for healthcare workflows and decision support.
What I'm looking for
I built CardioAI, a full-stack medical AI application that combines heart-disease prediction with an LLM-powered assistant, RAG, agent workflows, authentication, patient management, and medical reporting.
I develop machine learning systems from data preparation and model evaluation through FastAPI APIs, React interfaces, Docker deployment, and GitHub-based collaboration. My dentistry and healthcare background helps me build health-tech tools with clinical workflows, patient-centered problem-solving, validation, and guardrails in mind.
Experience
Work history, roles, and key accomplishments
AI/ML Engineer
Independent
Developed practical machine learning projects from data preparation through model training, evaluation, API integration, and application delivery. Built AI systems with explicit validation and guardrails rather than relying solely on unconstrained LLM generation.
Education
Degrees, certifications, and relevant coursework
University of Nairobi
Bachelor of Science, Computer Science
Pursued a Bachelor of Science in Computer Science, gaining foundational knowledge in computing and software development.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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