AI , Deep learning, Embedded Systems, Computer vision specialist
Hire MeDownload CVDeep Learning Specialist with extensive experience in applying advanced data science techniques, including deep learning and computer vision, to solve complex business problems. Proven expertise in developing real-time image processing algorithms, 3D reconstruction, and optimizing hardware for high-performance applications. Skilled in Python, C++, and a variety of AI frameworks, with a strong track record of delivering impactful insights and solutions in both research and industry environments.
I'm working highly agile, transparent, and structured, sharing with you the whole process and progress in close cooperation, passionate about solving complex problems leveraging Artificial Intelligence. I am based in France and you can know more about me by checking my resume and previous works. Learn More
Deep Learning Frameworks: PyTorch, TensorFlow, Keras
Computer Vision Libraries: OpenCV, MMDetection, Detectron2, YOLO, CNNs, U-Net (Image
Segmentation)
Data Science & ML Tools: Scikit-learn, Pandas, NumPy, Matplotlib
MLOps & Deployment: ONNX, TensorRT, TorchScript, Docker
Geospatial / Satellite Imaging: Rasterio, GDAL, SentinelHub-Py, Albumentations
Embedded & Edge AI: NVIDIA Jetson SDK, TensorRT, OpenVINO
Scrum, DevOps, Git, GitHub, Bitbucket, Docker, Jenkins, PyCharm, Anaconda, Visual Studio, NetBeans, Eclipse, Vivado HLS, Proteus, StarUML
2024 – Sept 2025
Developed algorithms for object detection and segmentation of satellite multispectral images with hardware optimization. Implemented an in-orbit cloud removal module, created a computer vision accelerator for edge satellite integration, and designed a drone detection solution for anti-drone military applications. Integrated CAN communication between onboard and edge computing units for reliable satellite data transmission.
#DeepLearning #SatelliteImaging #ComputerVision #EdgeAI #CANbus #DroneDetection
Nov 2021 – Feb 2024
Designed and implemented computer vision algorithms for GPS-free drone navigation using onboard sensors and deep learning. Developed real-time embedded 3D reconstruction for drones, built a Blender add-on for generating synthetic aerial datasets, and prepared/annotated large datasets for segmentation and object detection to enhance model robustness.
#ComputerVision #DroneNavigation #3DReconstruction #Blender #SyntheticData #Segmentation
February 2020 - March 2021
I worked as an intern at Micro-Optoelectronics and Nanostructures Laboratory (LMON), Monastir, I gained substantial experience identifying and fixing bugs, as well as coding in python, C/C++. The goal of the project that I worked on was to implement and accelerate an embedded Neural network on an FPGA platform to detect pedestrians to avoid collisions.
#AI #deeplearning #python #C #C++ #xilinx #vivado_HLs #computer Vision
September 2018 - Actuel
This is one of my favorite experiences. In 20218 I successfully founded LEGOLAB it's a private club for kids where we give the chance to dive deep into the word of robotics and see how programing and robots can solve world problems. I have animated many workshops about programming for kids and now I'm working for a part time job to manage this club with the help of my team of engineers.
#LEGOLAB #LEGO Education #python #Scratch #EV3 Robot #VEX Robot #Wedo 2.0 Robot #microbit #Arduino
Jun 2017 – July 2017
This is my first professional experience, I was working with our client from France on a new project about studying the possibility of making a full electric aircraft, unfortunately it was a very short experience but I learned a lot from it and also I made a very good friend.
#Avionav #Siemens #Airbus
2025 - 2026
Faculty of Science and Technology Nancy
2018 - 2021
Higher Institute of Informatics and Mathematics of Monastir
2015 - 2018
FacultyofSciencesMonastir(FSM)
Address
54500, Nancy, France
Phone
+33 6 66 24 01 27
mechliamohamedamine@gmail.com