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Hi, my name is
Building intelligent systems at the intersection of Artificial Intelligence and Software Engineering. I design and deploy production-grade ML solutions that solve real-world problems.
I build intelligent software systems combining machine learning models with modern web technologies.
My journey started with curiosity about how systems work and how we can make them smarter. That curiosity grew into a passion for machine learning and software engineering, where I now spend my time building, experimenting, and refining ideas through code.
As a computer science major, I've explored everything from designing software architectures to developing AI-driven applications. What drives me is solving problems that matter and the constant opportunity to learn, build, and improve.
Focused on:
Building LLM-powered systems, RAG pipelines, and intelligent agents
End-to-end system design from frontend to backend infrastructure
Turning raw data into production-ready ML-powered features
Designing scalable, maintainable, cloud-native architectures
// engineering-principles.ts
Currently exploring and building in these areas:
The path from curious student to AI engineer:
Began CS degree at Kaimosi Friends University (KAFU), diving into algorithms, data structures, and systems design.
Started building machine learning models with PyTorch and TensorFlow. Explored computer vision and NLP fundamentals.
Earned AWS Cloud Practitioner, led teams at national hackathons including Oracle Green Tech Hackathon at Strathmore University, served as School of Computing and IT Representative.
Software developer intern at Aned Development Center. Founded Club Innovate at KAFU. Serving as Academics Secretary. Building RAG systems and AI agents.
Technologies and tools I work with regularly:
Primary language for ML pipelines
Deep learning & neural networks
Production ML models
Classical ML algorithms
LLM application frameworks
Transformers & pre-trained models
GPT, embeddings, fine-tuning
Type-safe application development
React framework for production
UI component architecture
Core web language
Utility-first styling
Cross-platform mobile apps
Relational database design
Backend-as-a-service
NoSQL document stores
Relational database management
In-memory caching
ML app dashboards
Python API backend
Cloud infrastructure & services
Containerization
Version control & collaboration
Container orchestration
Infrastructure as code
Google Cloud Platform
No projects in this category yet.
Technical writing on ML engineering, system architecture, and software design:
Architecture decisions behind AI question-answering systems using local models, embeddings, and vector databases.
From training notebook to production API. Containerization, API design, monitoring, and scaling strategies.
Recent open-source work and active repositories:
Professional certifications validating expertise across cloud, AI, and engineering domains:
No certificates yet.
I'm currently open to ML engineering, software development, and AI project opportunities. Whether you have a question or a project in mind, I'd love to hear from you.