Meriem Said

- Software Development and Testing (C++, Cmake, git, Python, SQL, AWS) - Data Analysis (Python, Panda, Anaconda, SQL, Grafana) - Implementing and Testing Deep Learning Algorithms for Defect Classification. (Python, Keras and Tensorflow as backend) - Participating in algorithms development for flaw detection (C++, OpenCV ) - On-site Software Integration (following DevOps practice) - Analyzing Software requirements and participating in technology selection for IT infrastructure and industrial automation

- Developing Deep Learning algorithms for weld seam segmentation using UNet Convolutional Networks (Thesis Topic) - Developing python scripts for automated software testing - Developing a PLC client for data acquisition (Snap7, Python) - Pitching Relimetrics demo at the Hannover Messe in partnership with HPE - Setting up isolated environments for software testing on AWS - Participating in the Industrial Integration of the software

My missions were as follows: - Developing Deep Learning algorithms for defects classification (leather seats wrinkles). - Robust features Study (ORB, HOG descriptors) for SVM implementation - Developing C++ scripts for visual defects detection using OpenCV library - Participation to the International Manufacturing and Technology Show “IMTS” in Chicago (IL) for Demo presentation in partnership with SAP.

- Implementing a visual management tool using VBA applied on Attribute MSA study - Study of the Ethernet Comunication Protocol of an Industrial Machine Vision Camera in The Manufacturing Line.