Welcome to my GitHub!
I’m Maria, a Miami-based developer with a background in Computer Science and Cybersecurity Intelligence & Information Policy from Florida International University. I focus on developing impactful technology across full-stack development, cybersecurity, and data analysis. I’m dedicated to writing clean code and staying curious as the tech landscape evolves, always aiming to build practical solutions to real-world problems.
🧠 Embedded AI, Computer Vision & Raspberry Pi Systems
A collection of hands-on projects exploring embedded systems, computer vision, and machine learning deployment on the Raspberry Pi. This work focuses on real-world hardware–software integration, including camera-based image processing, GPIO interfacing, sensor-driven pipelines, and optimized on-device inference using lightweight ML models. Projects emphasize modular design, performance constraints, and practical edge AI applications.
Explore the full Raspberry Pi projects repository: RaspberryPiLab
Check out the ML & Computer Vision project with Raspberry Pi: LeafMedic
Python | AWS (Lambda, S3) | React | Django
An innovative environmental monitoring system that revolutionizes real-time sensor data analysis:
- ⚡ 35% efficiency boost through serverless AWS Lambda pipeline architecture
- 📊 Real-time insights via integrated AWS S3, Django REST API, and React dashboard
- 🧪 Robust unit testing and Agile delivery ensuring accurate metric reporting
- 🌱 Promotes sustainable resource management through actionable environmental data
Python | Raspberry Pi | TensorFlow Lite | PyQt5 | OpenCV
An end-to-end edge AI system for real-time plant disease detection on embedded hardware:
- 📸 Live leaf image analysis using Raspberry Pi camera module
- 🤖 On-device ML inference with optimized TensorFlow Lite MobileNet model
- 🩺 GUI displays disease classification, confidence scores, and treatment recommendations
- ⚡ Fast, low-latency pipeline (~145ms per image) for practical edge deployment
- 🌱 Supports 16 plant disease classes across 4 crops, with expansion plans for 43 diseases
React | Node.js | Express | MongoDB | Alpha Vantage API
A comprehensive platform democratizing investment education for beginners:
- 💹 Real-time stock data integration via Alpha Vantage API
- 🎯 Risk-free simulated trading environment for learning investment strategies
- 📱 Responsive UI with interactive dashboards for market trend analysis
- 🏗️ Scalable MongoDB architecture for user data and transaction handling
Java | Spring Boot | JavaScript | React | PostgreSQL | Docker
Enterprise-grade logistics tracking and visualization platform:
- 🚚 Real-time shipment tracking with REST APIs and interactive dashboards
- 🗺️ Enhanced visibility using React with Chart.js and Leaflet mapping
- ✅ JUnit-tested endpoints ensuring reliability and accuracy
- ☁️ Deployed on AWS EC2/S3 for production-grade scalability
I'm always excited to collaborate on innovative projects or discuss new tech ideas!
📧 Email: mrodr.contact@gmail.com
💻 Portfolio: mariarodr1136.github.io/Portfolio/
💼 LinkedIn: linkedin.com/in/mariarodr/
🐱 GitHub: @mariarodr1136