💻 Software Engineer | 🌍 Rwanda | 🚀 Problem Solver
I’m passionate about building solutions that tackle real-world problems using web applications and machine learning.
I believe technology is a tool to empower communities and create lasting impact.
- 🎯 Focus: Full-stack Web Development & Machine Learning
- 🛠 Tech Stack: React, Express, Node.js, TailwindCSS, MySQL/PostgreSQL, Python
- 🤖 ML Skills: Data preprocessing, model training, deployment, and integration into apps
- 📚 Currently Learning: TypeScript & Cloud Deployment
- 🌱 Mission: Use tech to improve agriculture, civic engagement, and everyday life
- ⚡ Fun Fact: I debug faster when I explain the problem out loud (a.k.a. “Rubber Duck Debugging” 🦆)
- Hinga Heza — Connecting farmers & buyers with rich agricultural land data.
- EventEase — AI-powered event planning made simple.
- Citizen Engagement System — Giving citizens a voice in decision-making.
- Soil pH Prediction — Predicts soil pH levels from agricultural data to assist in farming decisions. (Python, Scikit-learn)
- Traffic Congestion Predictor — Classifies road segments as congested or not using time, location, and land use data. (Python, Scikit-learn, TensorFlow)
- Vehicle Classifier — Identifies cars and motorcycles from images using a CNN in an end-to-end MLOps pipeline. (Python, TensorFlow, Flask, Streamlit)
⭐️ "Solving problems, one line of code at a time."