Full Stack Engineer
with ML
Building the future of intelligent systems through machine learning, scalable architecture, and cutting-edge research.
Engineering Intelligent Systems
Electronics & Computer Systems Engineer specializing in AI, scalable architectures, and data-driven solutions. Bridging the gap between theoretical mathematics and practical software engineering.
Background
As an Electronics and Computer Systems Engineering student, I combine strong mathematical foundations in calculus and linear algebra with practical software engineering to build intelligent, scalable systems.
Focus Areas
My passion lies in creating data-driven applications, deploying machine learning models, and architecting high-performance systems using modern technologies across the entire stack.
Approach
I believe in test-driven development, continuous integration, and building systems that are not just functional, but resilient and maintainable.
AI & Machine Learning
- Deep Neural Networks
- Computer Vision
- Statistical Analysis
- Data Visualization
- Model Deployment
Full Stack Development
- TypeScript/React/Next.js/Nest
- Python/FastAPI/Django
- Rust Systems Programming
- REST & GraphQL APIs
- Microservices Architecture
- MongoDB, Postgres, MySQL
Cloud & DevOps
- AWS Infrastructure
- Docker & Containerization
- Serverless Architecture
- Prometheus & Grafana
- CI/CD Pipelines
Data Engineering
- Data Analytics
- Jupyter Notebooks
- ETL Pipelines
- Statistical Modeling
- Dashboard Creation
Education & Certifications
Formal education and continuous learning
Mount Kenya University
BTech Electronics & Computer Systems Engineering
Ongoing
Artificial Intelligence & Systems Engineering
ALX Software Engineering
Software Engineering Certification
2023
Full Stack Development & System Design
DataCamp
Data Science & Machine Learning
2025
Statistical Analysis & ML Modeling
Work Experience
Turning complex problems into reliable, production-grade systems — across industries, tech stacks, and teams.
Unga Group PLC
Full Stack & IoT Engineer
- Design and build full-stack internal web applications used across multiple departments including Operations, Finance, and Supply Chain — translating business requirements into production-ready software.
- Integrate hardware devices (cameras, sensors, edge units) with computer vision pipelines, bridging the physical and digital layers of industrial operations.
- Architect and deploy end-to-end AI/IoT solutions that combine real-time sensor data, ML inference, and responsive front-end dashboards in a single cohesive system.
- Manage entire projects solo from the ground up — owning everything from system design and database modelling to deployment and post-launch monitoring.
- Collaborate cross-functionally with department heads, field engineers, and IT teams to gather requirements, iterate on prototypes, and deliver solutions that fit real operational workflows.
- Maintain and extend existing internal software systems, performing regular code reviews, dependency updates, and performance optimisations.
- Monitor production environments, triage incidents, and carry out root-cause analysis to minimise downtime across business-critical applications.
Nuvemite Technologies
Full Stack Web Developer
- Develop and ship full-stack web applications end-to-end, taking features from wireframe through to production deployment.
- Build reusable front-end component libraries and scalable back-end APIs that serve as the foundation for multiple client-facing products.
- Work closely with designers and product stakeholders to iterate rapidly, incorporating feedback while maintaining code quality and test coverage.
- Maintain and refactor legacy codebases, improving performance, reducing technical debt, and modernising architecture where needed.
- Set up and manage monitoring and alerting pipelines to track application health, surfacing anomalies before they impact end users.
- Carry out systematic troubleshooting of production incidents, writing post-mortems and implementing preventive measures to improve system reliability.
Technical Arsenal
Technologies I use to bring ideas to life
TypeScript
12+ projects
Python
15+ projects
Rust
4+ projects
AWS
8+ projects
React - Next - Nest
10+ projects
FastAPI - Django
5+ projects
Jest - CircleCI
5+ projects
GitLab - Git
5+ projects
Prometheus - Grafana
5+ projects
Docker - MongoDB - pSQL
7+ projects
TensorFlow - Pytorch
6+ projects
Angular - Vue
2+ projects
Building Solutions
From concept to deployment, each project represents a unique challenge and an opportunity to innovate. Here's a showcase of my technical journey.
Let's Connect
Ready to bring your next project to life? Whether it's AI, full-stack development, or data engineering, I'm here to help turn your ideas into reality.
Let's start a conversation
I'm always interested in discussing new opportunities, innovative projects, and collaborations. Feel free to reach out through any of the channels below.