Mohamed Wassim Riahi Email and Phone Number

In this role, I contributed to the development of an anomaly detection model aimed at analyzing log files from network cards manufactured by Ciena and returned due to malfunctions. My responsibilities included:- Data Collection: Gathered log files from various sources.- Collaboration with Field Experts: Held meetings with experts to understand the log data and identify key information.- Data Cleaning and Preprocessing: Cleaned and preprocessed the log files to ensure quality.- Log Parsing: Used a logParser to transform raw log data into a structured format suitable for model training.- Model Development: Initiated the development of a Long Short-Term Memory (LSTM) based model for detecting anomalies in the log files.

During my graduation internship, I participated in the development of a model for German sign language recognition. This involved:- Designing and implementing convolutional neural networks (CNNs) to extract meaningful features from video frames.- Utilizing a Transformer for extracting the temporal features of the video.- Integrating Hidden Markov Models (HMMs) to find the sequence of word the most probable.Technologies & Tools: Python, PyTorch, CNN, Transformer, HMM.

During this internship, I joined the Wevioo team to design an OCR solution that allows:- Detection of a Tunisian national identity card in a scanner image. (OpenCV)- Segmentation of the identity card into words.- Reading each word (in Arabic) using the OCR tool Tesseract.

During this internship, I joined the Webi Studio team, learned about their activities, and familiarized myself with the use of CMS, particularly WordPress.

Stage ouvrier durant lequel j'ai découvert le département informatique de la STEG ainsi que son secteur d'activité et le déroulement du travail.