morphus ephraim
@morphusephraim
ML engineer and full-stack developer building AI assistants and decentralized apps.
What I'm looking for
I’m an ML Engineer and Full-Stack Developer with a background in Applied Physics and Informatics. As a final-year BSc student focused on Deep Learning, Neural Networks, and AI Integration, I learned to move from first-principles thinking to scalable AI deployment.
I’m also the Founder & Lead Architect of Spreaders, a decentralized Super App ecosystem. From 2024 to present, I architected an ecosystem integrating e-commerce, digital learning, and booking systems, and I developed Daria, a proprietary AI assistant to automate user interactions and optimize decentralized transactions.
Building Daria and the platform required both strategy and hands-on engineering—covering model selection and integration, autonomous agent logic, and deployment. I implemented full-stack solutions using React.js and Tailwind CSS with Django (Python) and PHP, backed by PostgreSQL, and led API development and decentralized architecture decisions.
I bring a product-minded, shipping-focused approach that blends business strategy with autonomous AI execution. Recognized as 1st Runners Up at FOYA Africa Awards (E-commerce, 2024), I’m excited to apply that founder’s mindset to building and accelerating reliable software—especially in work involving autonomous testing agents.
Experience
Work history, roles, and key accomplishments
Founder & Lead Architect
Spreaders
Jan 2024 - Present (2 years 5 months)
Architected a decentralized Super App integrating e-commerce, digital learning, and booking systems, and led product and technical vision. Engineered Daria, an AI assistant to automate user interactions and optimize decentralized transactions, earning 1st Runners Up at FOYA Africa Awards (E-commerce) in 2024.
Education
Degrees, certifications, and relevant coursework
President University
Bachelor of Science in Informatics (AI), Informatics (AI)
Bachelor of Science in Informatics (AI) as a final-year student, focusing on deep learning, neural networks, and AI integration. Transitioned from Physics to Informatics to master scalable AI deployment.
Multimedia University of Kenya
BSc Applied Physics & Computer Science, Applied Physics & Computer Science
Previously studied Applied Physics and Computer Science to build a foundation in first-principles thinking, computational logic, and hardware-software interfacing.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
www.spreaders.shopJob categories
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