Ghada Nasser Amin
Machine Learning, Computer Vision & Edge AI
[email protected] | Cairo, Egypt | |
Professional Summary
Junior Machine Learning Engineer with experience in ML, computer vision, and NLP. Built edge AI solutions and on-device inference models using PyTorch, TensorFlow, and TensorFlow Lite; interested in Generative AI.
Skills
Skills:
- Python, C++, C, SQL
- Machine Learning & DL
- Frameworks & Libraries
- Data Analysis
- Tools & Platforms
- Edge AI & Embedded
Experience
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Smart Wheelchair (Graduation Project) Developing an AI-powered smart wheelchair integrating AI, embedded systems, and a mobile appProject Lead / ML Engineer 09/2025 – Present
- Coordinated AI, embedded systems, and Flutter mobile application development
- Integrated live camera and microphone streaming, emergency alerts, battery monitoring, ToF sensors
- Worked with on-device models and real-time telemetry for caregiver tracking
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DEPI TraineeMicrosoft Machine Learning Engineer Trainee Machine learning training through the Digital Egypt Pioneers Initiative
- 10/2024 – 05/2025 | Completed project-based training in ML, deep learning, NLP, and computer vision
- Gained hands-on experience with Azure fundamentals
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Future AWS AI Scientist Nanodegree Program Udacity nanodegree focused on AIParticipant 09/2025 – 11/2025
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Instructor at Atomika, The Egyptian E-learning University (EELU) Mentored students in competitive programming and taught algorithms and data structuresInstructor/Mentor 11/2023 – 03/2024
- Delivered sessions on algorithms, data structures, and problem-solving techniques
- Prepared students for programming contests
Projects
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Smart Wheelchair
Sponsored AI-powered smart wheelchair with industry mentorship
ML & Systems Developer Coordinated AI, embedded systems, and mobile application development; Integrated sensors, emergency alerts, and caregiver tracking app- Coordinated AI, embedded systems, and mobile application development
- Integrated sensors, emergency alerts, and caregiver tracking app
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Voice-controlled Navigation System
On-device speech recognition using quantized Zipformer
ML Engineer Implemented quantized Zipformer model for on-device inference; Enabled voice navigation for edge deployment- Implemented quantized Zipformer model for on-device inference
- Enabled voice navigation for edge deployment
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Real-time Obstacle Detection & Avoidance
YOLO Nano and TensorFlow Lite optimized for ESP32
Computer Vision Engineer Built YOLO11 Nano pipeline and optimized models for ESP32 edge devices; Implemented real-time detection and avoidance logic- Built YOLO11 Nano pipeline and optimized models for ESP32 edge devices
- Implemented real-time detection and avoidance logic
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Chest X-Ray Classifier
PCA + SVM pipeline for medical image classification
ML Engineer Developed PCA and SVM pipeline achieving 96% accuracy on the dataset- Developed PCA and SVM pipeline achieving 96% accuracy on the dataset
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Transformer-based Sentiment Analysis
Customized Transformer in PyTorch for IMDB sentiment classification
NLP Engineer Added classification head and mean pooling, trained and evaluated on IMDB dataset- Added classification head and mean pooling, trained and evaluated on IMDB dataset
Education
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B.Sc. Computer Science The Egyptian E-Learning University, GPA 3.05/4Student 10/2022 – 06/2026
Awards
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Pace Maze Award Awarded 10,000 EGP for developing Pace Maze including 3D design and hardware assemblyLed 3D design in Fusion 360 and hardware integration Led 3D design in Fusion 360 and hardware integration
- Led 3D design in Fusion 360 and hardware integration
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4th Place – Makerverse Hackathon - 27/08/2025Internal Recognition
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2nd Place – Autonomous Sumo Robot Competition - 10/2024Internal Recognition