Products that ship
Web applications, mobile interfaces, backends, authentication, databases, deployment and CI/CD.
I'm Raymond (DevRay) Klanderman, a software and AI engineer from Kenya. I build end-to-end applications that move beyond prototypes and solve practical problems.
Software, AI and the systems that make them useful.
I work across frontend and mobile experiences, APIs, data models, machine learning and AI integrations. Much of my work is built independently—from defining a user problem and designing the architecture to writing the code, running tests and deploying the application.
My projects span healthcare, education, accessibility, research and civic technology. I pay particular attention to practical engineering details such as privacy, consent, automated testing, accessibility, human oversight and communicating what a system cannot reliably do.
Earlier institutional roles shaped that approach. At the Pan-African Parliament, I developed a cross-platform Flutter app for Android and iOS, integrated livestreaming of parliamentary proceedings, and organized official website information for a mobile experience. My work with the Office of the Nairobi Woman Representative also strengthened my ability to collaborate with different stakeholders and communicate clearly.
Three areas connect much of what I build.
Web applications, mobile interfaces, backends, authentication, databases, deployment and CI/CD.
LLM integrations, agent workflows, multimodal interfaces and machine-learning evaluation for real tasks.
Privacy controls, access policies, human review, clear limitations and inclusive experiences.
AI Health Chat grew from a first-place PLP graduate hackathon project; my hybrid movie recommender improved public-leaderboard RMSE from 1.21 to 0.82; and projects including TutaLearn, Luminae and Sauti Mtaani are available to explore online.
My main portfolio documents projects, architecture, outcomes and professional experience.