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I'm a passionate Full Stack Developer and Technology Innovator specializing in enterprise-grade applications. Currently architecting and developing SmartSchedule Healthcare - an AI-powered appointment scheduling platform targeting the healthcare scheduling problem.

• 🖥️ Role: Software Engineer
• 🏥 Leading Project: SmartSchedule Healthcare - Enterprise AI scheduling platform
• 🤖 Specializing: Healthcare AI/ML solutions, HIPAA-compliant architectures, .NET 10 enterprise development

Current • Leading Enterprise AI Platform Development

Building HIPAA-compliant, AI-powered scheduling platform for healthcare providers using .NET 10, Azure, and ML.NET.

Tech: .NET 10 Blazor Azure OpenAI FHIR Terraform

4 months • Nairobi

Developing enterprise software solutions with modern .NET technologies and cloud infrastructure.

Tech: C# ASP.NET Core Azure SQL Server Microservices

6 months • Nairobi

• Reduced operational processing time by 20% through automated backend systems
• Built scalable data processing pipelines for agricultural research

Tech: Python Django PostgreSQL REST APIs Docker

6 Months • Remote

• Increased user engagement by 25% through responsive web applications
• Delivered production features in Agile sprints

Tech: React Redux Node.js MongoDB JavaScript

Key Focus Areas:

• 🔧 Full-Stack Development with modern frameworks
• 🤖 AI/ML Integration in web applications
• 🏗️ System Design & Software Architecture
• ☁️ Cloud-Native Development & DevOps
• 📊 Data Structures & Algorithms
• 🤝 Agile Methodologies & Team Collaboration

Full-Stack Development:
  - Frontend: Blazor, React, Angular, TypeScript
  - Backend: .NET, Node.js, Python, ASP.NET Core
  - Database: SQL Server, PostgreSQL, MongoDB

Healthcare Technology:
  - HIPAA-compliant architectures
  - FHIR/HL7 integration
  - Clinical workflow automation
  - Healthcare data security

AI/ML Integration:
  - Azure OpenAI GPT-4o
  - ML.NET predictive models
  - NLP & intent recognition
  - TensorFlow implementations

Cloud & DevOps:
  - Azure & AWS platforms
  - Docker & Kubernetes
  - Terraform IaC
  - CI/CD pipelines

🔥 Core Languages

🚀 Frameworks & Libraries

🗄️ Databases & ORMs

ORMs & Data Tools: Entity Framework Core • Sequelize • Mongoose • Prisma

🤖 AI/ML & Data Science

Specializations: NLP • Neural Networks • Intent Recognition • Deep Learning

⚙️ DevOps & Cloud

🔧 Tools & Version Control

Additional Tools: Postman • Jest • xUnit • GitHub Actions • CI/CD Pipelines

🌐 Real-time & Communication

Technologies: Socket.io • SignalR • WebSockets • REST APIs • GraphQL

Role: Healthcare Technology Architect | Status: Active Development

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 • Kubernetes

Key Features:

• 🤖 AI No-Show Prediction: 85% accuracy, reducing no-shows by 40%
• 📱 Patient Self-Service: Mobile-first booking with <2min 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

🔗 View Repository

Category: AI/ML • NLP | Impact: 95% Accuracy, 40% Faster Response

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

🔗 Repository | Live Demo

Category: Full-Stack • E-Commerce | Impact: 85% Test Coverage

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)

🔗 Repository | Live Demo

Category: Full-Stack • Real-Time | Tech: WebSockets, Socket.io

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

🔗 Repository | Live Demo

Category: .NET Learning Project | Focus: Clean Architecture, SOLID Principles

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

🔗 Repository

Category: Data Visualization | Region: East Africa

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

🔗 Repository | Live Demo

Category: DevOps • Cloud | Focus: Containerization, Orchestration

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

🔗 Repository

🔥 Core Languages

🚀 Frameworks & Libraries

Healthcare Specific: MudBlazor • FHIR.Net • HL7 • Entity Framework Core • SignalR

🗄️ Databases & Cloud

Healthcare Data: Always Encrypted • HIPAA Compliance • Row-Level Security • Cosmos DB Vector Search

🤖 AI/ML & Healthcare

Healthcare AI: Azure OpenAI GPT-4o • ML.NET • No-Show Prediction • FHIR Analytics • Clinical Decision Support

⚙️ DevOps & Infrastructure

Enterprise DevOps: Terraform IaC • Azure Pipelines • HIPAA-compliant CI/CD • Zero-trust Security

• 🚀 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 and maintaining 80% code coverage through comprehensive testing
• ⚡ Built responsive Blazor Server components with real-time data synchronization via SignalR, significantly improving user experience and application interactivity across enterprise clients
• 🏗️ Designed and implemented RESTful APIs for SmartSaaS™ cloud platform with comprehensive error handling, validation, and authentication following industry security standards
• 👥 Mentored junior 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 2027)
• 🌐 Deploy 3 production-ready full-stack applications
• 📊 Build 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 always excited to connect with fellow developers, discuss new technologies, or collaborate on interesting projects!

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 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 demonstrated growth mindset
• Experience with agile methodologies and team collaboration
• Passion for building impactful, user-centric applications