Amira Hosny Mady

AI & Machine Learning Engineer

About Me

I’m Amira Hosny Mody, an AI & Machine Learning Engineer with a foundation in electrical engineering, computer vision, embedded systems, and robotics. I bridge software intelligence with real-world hardware, from self-driving prototypes to IoT-integrated smart solutions. I thrive on collaborative, impact-driven innovation.

Core Skills

Programming

Python, C/C++, Bash

NumPy, Pandas, Scikit-Learn, TensorFlow, PyTorch, OpenCV

Machine Learning

Supervised & Unsupervised Learning

Deep Learning (CNNs, RNNs), Face Recognition, Object Detection

Embedded & IoT

Raspberry Pi, Arduino, ARM Cortex, PCB Design, ROS

MQTT, Node-RED, Home Assistant, n8n

Tools & Platforms

Docker, Git, Linux, VS Code, Jupyter, Google Colab

Featured Projects

QuickRIC

Autonomous Car Rental Platform (2024–2025)

Face recognition model (95% accuracy)
YOLO + depth camera for obstacle detection <50ms latency
ROS-based control dashboard

Smart Driver Monitoring

Real-time eye-state detection & facial landmarks for driver attention.

Smart Homes Automation

n8n + Home Assistant flows triggered by CV & IoT sensors.

Bayesian QC Classifier

Quality control using Bayesian inference—90% classification accuracy.

Education & Certifications

B.Sc., Electrical Engineering – Menoufia University (2025 expected)

AI for Everyone (Coursera, Andrew Ng)
Machine Learning & Probability (Coursera, Duke)
Project Mgmt Certificate (American Chamber, UCCD)
Deep Learning Specialization (in progress)

Industry Experience

Engineering Intern, ELSEWEDY Cables

Automated cable-testing workflows
Collaborated on quality-control improvements

Technical Trainee, EPE Group

Presented on circuit-breaker technologies
Researched electrical safety & control systems

Contact

Email: amiramady658@gmail.com

LinkedIn: amira-hosny-108a5724b

GitHub: Zoiax