I'm a backend and AI engineer with a unique perspective on technology. While I architect scalable systems and integrate artificial intelligence into mobile applications, I also find inspiration in poetry and digital art.
This dual passion allows me to approach technical challenges with creativity and build solutions that are not just functional, but elegant. I believe that great software, like great art, should move people.
When I'm not optimizing database queries or training machine learning models, you'll find me crafting verses or creating digital art that explores the intersection of technology and human experience.
Marsoney Labs • Nairobi, Kenya
• Develop and maintain mobile and web platforms for an emerging e-learning provider; collaborate on system architecture, feature delivery, and product strategy. • Implement seamless integrations between Next.js frontend and Java Spring microservices, ensuring scalable, cloud-native deployments. • Tech stack: Next.js, Java Spring, REST APIs, SQL, Redux, Docker, Microservices.
Gotendia Limited • Nairobi, Kenya
• Led end-to-end engineering across Tallivor (workforce & education platforms), OneShop (e-commerce), and Eventa (event management), driving product vision from concept to scalable deployment. • Architected and maintained robust, high-performance systems serving diverse industries, with a focus on mobile-first experiences, real-time data, and compliance. • Tech stack: Go, Gin, Django, PostgreSQL, Next.js, React, React Native, Redis, Docker, Kubernetes, GitHub Actions.
Reyan Tech • Nairobi, Kenya
• Contribute to development and optimization of an android mobile application (Undisclosed - Project still under development) • Tech stack: Firebase, Kotlin, Android Studio, XML Views
Redolence Living (Bee Multiscents) • Ruiru, Kenya
Contribute to development and optimization of the Bee MultiScents mobile application and customer-facing website; support full project lifecycle from requirements to deployment.
The Cooperative University Of Kenya
Currently pursuing a B.S. in Computer Science with a strong interest in AI systems and infrastructure. Exploring how intelligent algorithms can be efficiently designed, deployed, and scaled through coursework in machine learning, distributed systems, and software engineering.