{
  "first_name": "David",
  "last_name": "Njagi",
  "telephone_no": "+254796894542",
  "email": "njagidave39@gmail.com",
  "location": "Nairobi, Kenya"
}

I'm David Kimanthi Njagi, a passionate and versatile Computer Engineering student in my final year at Mount Kenya University (MKU) and a trained Software Engineer from Holberton School. I specialize in backend development using Python, mobile app development using React Native, and I'm venturing into low-latency systems and IoT integrations.

As a self-driven developer and problem solver, I'm focused on building real-world solutions that enhance accessibility, reliability, and user experience—especially in the medical and real estate domains.

A smart medical solution for patients with chronic diseases.

• 💊 Chronicare is a cross-platform solution (Web + Mobile App) that empowers patients to:
  • Book appointments with doctors remotely
  • Place medication orders from home
  • Receive real-time notifications and reminders
  • Easily monitor their vitals, sugar levels, heart rate, body weight, through out their medication period.
• ⚙️ Built using:
  • Backend: Flask + Flask-SocketIO
  • Frontend: React Native (mobile), HTML/CSS/JS (web)
  • Database: MySQL
  • **REST APIs

This project emphasizes remote health monitoring, data privacy, and accessibility for those managing long-term conditions, as well as working with clinical data for ease of patient health management.

A house listing and rental platform similar to Airbnb.

• 🏡 Oasis is a location-aware housing platform where users can:
  • Browse and book listed houses near them
  • View property details, prices, and availability, amenities
  • Communicate with landlords or property managers
• 🌐 Features:
  • Responsive web interfaces
  • Token-based authentication
  • RESTful API structure
  • Real-time house availability tracking (coming soon)

This project is aimed at making house-hunting seamless and hyperlocal, implementing algorithms that make it easy to find the desired property within a short distance from the user.

A smart surveillance and defense system for large-scale fish farming.

• 📷 FarmGuard is a computer vision-powered system built to:
  • Detect predators near fish ponds using realtime camera feeds and ultrasonic sensors
  • Automatically trigger acoustic deterrents (e.g., high-frequency sounds) to repulse them
  • Log predator encounters and notify the farmer
• 🧠 Powered by:
  • Computer Vision models (trained with TensorFlow)
  • Ultrasonic sensors for obstacle proximity detection
  • Custom electronic circuits for sensor integration and actuator control (e.g., buzzers and alarms)
  • Microcontrollers (Arduino) for real-time signal processing

This system merges AI, electronics, and automation to improve fish survival rates in aquaculture.

• 🔍 Deepening my knowledge of C++ for system-level programming and high-performance applications.
• 🔌 Exploring low-latency backend systems and embedded electronics for real-time data processing.
• 📡 Strengthening API design, especially for mobile + IoT integrations.

• 🛠️ Backend Systems – scalable, modular Python or Node.js APIs
• 🎨 Frontend Development – clean and responsive React, React Native, or plain JS/HTML/CSS
• 🔌 Electronics + IoT – sensor-based systems, Arduino, Raspberry Pi
• ⚡ Low-Latency Solutions – real-time data pipelines, Flask-SocketIO, C++ systems
• 🔄 API Integrations – RESTful, real-time, or third-party integrations

If you’re building a project in healthtech, IoT, real estate tech, or backend infrastructure—let’s connect!

• 📧 Email: njagidave39@gmail.com
• 🌍 GitHub: @DAVENJAGI
• 💼 LinkedIn: David Kimanthi Njagi
• 🌐 Portfolio: davenjagi.netlify.app
• 📄 Resume: resume-davenjagi.netlify.app