Full-stack engineer with 2+ years shipping production systems across fintech, healthcare, and SaaS. I work across the full delivery chain — API design, database optimization, cloud infrastructure, and CI/CD. I've integrated real payment systems (M-Pesa, Pesapal), AI features (Anthropic Claude, OpenAI embeddings), and scalable infra on Azure and AWS.
Previously shipped production work at Cognativ Technology Limited. Currently building SmartSchedule Healthcare full-time — an AI-powered scheduling SaaS for healthcare providers — and open to contract and full-time opportunities.
Right now I'm focused on:
- Shipping the SmartSchedule Healthcare MVP (Azure · .NET 10 · Blazor · Terraform)
- Deepening expertise in FHIR/HL7 integration and HIPAA-compliant architecture
- LLM integration patterns with the Anthropic Claude API
Role: Healthcare Technology Architect | Status: Active Development
Tech: .NET 10 Blazor Azure OpenAI FHIR Terraform ML.NET
Business Impact:
- 🎯 Addressing $150B annual healthcare scheduling inefficiency
- 📈 Target market: 150K+ US healthcare practices (2–50 providers)
- 💰 Revenue projection: $240K ARR Year 1 → $2.2M ARR Year 3
- 🚀 Customer ROI: 150–250% within 3 years
Technical Architecture:
Backend: .NET 10 LTS • ASP.NET Core • Clean Architecture • CQRS
Frontend: Blazor WebAssembly/Server • MudBlazor • PWA
Database: Azure SQL (Always Encrypted) • Redis • Cosmos DB
AI/ML: Azure OpenAI GPT-4o • ML.NET (85% prediction accuracy)
Integration: HL7 FHIR R4 (Epic, Cerner, Athena)
Security: HIPAA-compliant • Zero-trust • SOC 2 Type II ready
Infrastructure: Azure Cloud-Native • Terraform IaC • KubernetesKey Features:
- 🤖 AI No-Show Prediction: 85% accuracy, reducing no-shows by 40%
- 📱 Patient Self-Service: Mobile-first booking with <2 min completion
- 🔗 EHR Integration: Bidirectional sync with major healthcare systems
- 🔒 HIPAA Compliance: End-to-end encryption, audit trails, BAA ready
- 📊 Analytics Dashboard: Real-time metrics, ROI tracking
- ⚡ Performance: <200ms API response, 99.9% uptime target
Development Status:
- ✅ Phase 0: Market research, architecture, legal framework
- ✅ Infrastructure: Azure environments provisioned
- ✅ Foundation: Core API, EF Core, authentication framework
- 🚧 Current: Patient portal, provider dashboard, EHR integration
- 🎯 MVP Launch: Q2 2026 with 10 beta customers
Category: AI/ML · NLP | Impact: 95% Accuracy, 40% Faster Response
Tech: Python TensorFlow NLP REST APIs Intent Recognition
Intelligent chatbot for e-commerce platforms achieving 95% accuracy in intent recognition and reducing customer support response time by 40%.
Key Features:
- 🧠 Natural Language Processing with TensorFlow
- 🎯 Intent classification and entity recognition
- 💬 Context-aware conversation management
- ⚡ Real-time response generation with REST APIs
Category: Full-Stack · E-Commerce | Impact: 85% Test Coverage
Tech: Angular Django PostgreSQL M-Pesa API ML
Full-stack e-commerce platform featuring smart product recommendations, secure M-Pesa payments, and real-time order tracking with 85% test coverage.
Key Features:
- 🤖 ML-powered product recommendation engine
- 💳 M-Pesa payment gateway integration
- 📦 Real-time inventory management system
- ✅ Comprehensive testing suite (Jest, Pytest)
Category: Full-Stack · Real-Time | Tech: WebSockets, Socket.io
Tech: React Node.js Socket.io MongoDB WebSockets
Real-time collaboration tool with live messaging, presence detection, and collaborative document editing capabilities.
Key Features:
- 🔄 WebSocket-based real-time communication
- 👥 User presence and typing indicators
- 📝 Collaborative document editing
- 🔍 Message history and search functionality
Category: .NET Learning Project | Focus: Clean Architecture, SOLID Principles
Tech: C# ASP.NET Core Blazor Server EF Core SignalR
Full-stack CRUD application demonstrating clean architecture patterns in .NET with Blazor Server and real-time capabilities.
Key Features:
- 🏗️ Layered architecture (Data, Shared, Web)
- 📊 Entity Framework Core with Repository pattern
- ⚡ SignalR for real-time updates
- 💉 Dependency injection throughout
- 🔄 AutoMapper for DTO conversions
Category: Data Visualization | Region: East Africa
Tech: React D3.js Node.js MongoDB
Interactive dashboard visualizing COVID-19 statistics across East Africa with real-time data updates and dynamic charts.
Key Features:
- 📈 D3.js interactive visualizations
- 🔄 Real-time data updates
- 🗺️ Regional breakdown and trends
- 📱 Responsive design for all devices
Category: DevOps · Cloud | Focus: Containerization, Orchestration
Tech: Docker Kubernetes GitHub Actions Node.js AWS
Containerized microservices application with automated testing, deployment pipeline, and cloud orchestration.
Key Features:
- 🐳 Docker containerization
- ☸️ Kubernetes orchestration
- 🔄 CI/CD with GitHub Actions
- ✅ Automated testing and deployment
- ☁️ AWS cloud infrastructure
- 🚀 Optimized database queries and implemented Entity Framework Core migrations, reducing API response times by 35% through strategic indexing and query optimization
- 💡 Achieved 95% bug-free deployment rate by collaborating with cross-functional teams (Product, QA, DevOps) in agile sprints, maintaining 80% code coverage through comprehensive testing
- ⚡ Built responsive Blazor Server components with real-time data synchronization via SignalR, significantly improving user experience across enterprise clients
- 🏗️ Designed and implemented RESTful APIs for the SmartSaaS™ cloud platform with comprehensive error handling, validation, and authentication following industry security standards
- 👥 Collaborated with other developers on .NET best practices, SOLID principles, and clean code architecture while contributing to technical documentation
- 🔧 Participated in architectural design sessions for system scalability and contributed to technical decision-making
Tech Stack: C# ASP.NET Core .NET Core Blazor Server Entity Framework Core SQL Server SignalR RESTful APIs
- ⚡ Developed automated backend systems that reduced operational processing time by 20%
- 🔧 Built scalable data processing pipelines for agricultural data management
- 🌐 Implemented RESTful APIs for internal research tools
- 📊 Optimized database queries, improving system performance
Tech Stack: Python Django PostgreSQL REST APIs Docker
- 📈 Built responsive web applications increasing user engagement by 25%
- 🎨 Implemented Redux Toolkit for efficient state management
- ✅ Delivered production features within sprint cycles using Agile methodology
- 🤝 Collaborated with cross-functional teams on client projects
Tech Stack: React Redux JavaScript Node.js MongoDB
Achievement: Graduated in Top 15% of cohort
- 🏆 Completed intensive full-stack development training (1,200+ hours)
- 💻 Hands-on project-based learning with real-world applications
- 🤝 Peer programming and collaborative problem-solving
- 📚 Mastered algorithms, data structures, and system design
Core Skills: Full-Stack Development System Design Algorithms Team Collaboration
- 🚀 Open Source: Contribute to 5+ AI/ML open-source projects
- 💼 .NET Mastery: Complete advanced Blazor and ASP.NET Core certifications
- ☁️ Cloud Expertise: Achieve AWS Solutions Architect or Azure Developer certification
- 🤖 AI/ML: Build production-grade AI applications with Azure OpenAI
- 🏥 Launch SmartSchedule Healthcare MVP with 10 beta customers (Q2 2026)
- 🌐 Deploy 3 production-ready full-stack applications
- 📊 Build a real-time analytics dashboard with modern data visualization
- 🔐 Implement enterprise-grade security patterns in personal projects
- 📝 Publish 12+ technical blog posts on .NET, Blazor, and AI/ML
- 🎤 Deliver 2+ tech talks at local meetups or conferences
- 👥 Mentor 5+ junior developers in the Nairobi tech community
- 🌍 Organize monthly coding sessions for aspiring developers
I'm actively seeking:
- Junior/Mid-level Software Engineering positions
- Full-stack development roles (TypeScript, React, Node.js, .NET)
- AI/ML integration projects
- Remote or Nairobi-based opportunities
- Collaborative startup environments
What I bring:
- 2+ years of hands-on software engineering experience
- Strong full-stack foundation with modern frameworks
- Proven ability to deliver measurable results (20% efficiency gains, 25% engagement increases)
- Quick learner with a demonstrated growth mindset
- Experience with Agile methodologies and team collaboration
- Passion for building impactful, user-centric applications
