AI & Computer Vision Engineer with strong experience in designing and deploying intelligent systems across embedded platforms, cloud environments, containerized applications, and backend systems. Skilled in FastAPI, Docker, Kubernetes, and modern ML/DL frameworks (TensorFlow, PyTorch).
I combine software engineering, embedded development, and deep learning to build real-time, scalable, and automated solutions.
| Category | Summary |
|---|---|
| AI & CV | PyTorch, TensorFlow, OpenCV, CNN, RNN, LSTM, Transformers, Transfer Learning |
| Software Engineering | FastAPI, REST APIs, CI/CD, State Machines, Layered Architecture |
| Embedded Systems | ARM, AVR, FreeRTOS, AUTOSAR, Yocto, Buildroot, QEMU, Linux |
| Cloud & DevOps | Docker, Redis, RabbitMQ, Kubernetes, Jenkins, GitHub Actions |
| Programming | Python, C, C++, SQL, Bash, Dart |
| Tools | CMake, Make, Doxygen, Postman, Power BI, MATLAB |
- Lead Lean manufacturing initiatives (Kaizen, DMAIC, TQM).
- Drive cross-functional team transformation and workflow optimization.
- Improved quality processes for automotive components (Renault + VW).
- Applied RCA, 7QC tools, DFMEA, PFMEA.
- Identified production defects and documented improvement actions.
- B.Sc. Mechanical Engineering – Banha University (Ranked 5/120)
- Deep Learning, Computer Vision, ML Diplomas (Stanford, MIT, FreeCodeCamp)
- AUTOSAR Diploma – IMT
- Embedded Linux: Yocto, Buildroot, QEMU
- Lean Six Sigma Green Belt
- Backend Engineering – FastAPI, Databases, Cloud
- Built a custom Linux distribution with Yocto
- Integrated Whisper AI in Docker for speech-to-text
- Enabled CV capabilities with OpenCV
- ✔ Emulated hardware using QEMU before deployment
🔗 https://github.com/ahmedferganey/AutonomousVehiclesprojects/tree/main/AI_Voice_Assistant_using_Raspi4
- Kinematics, dynamics, motion control
- Trajectory planning & optimization
🔗 https://github.com/ahmedferganey/GraduationProject2022
- Implemented with PyTorch & TensorFlow
- Fine-tuning, augmentation, optimization
🔗 https://github.com/ahmedferganey/Final_Learning_AI/tree/main/Final_Learning_AI-Projects/02_DeepLearning_Projects/01_Transfer_Learning
- KMeans, Random Forest, PCA, DBSCAN
- Data preprocessing & outlier detection
🔗 https://github.com/ahmedferganey/Final_Learning_AI/tree/Projects/01_CustomerSegmentation_ML
- 4-sensor triangulation + ARM architecture
- Full AUTOSAR-layered software stack
- Custom linker script, startup code
🔗 https://github.com/ahmedferganey/GraduationProject