Ing. Montassar AJAM

- Implementing machine learning-based techniques for Anomaly detection ( based on System logs datasets). - Analyzing large datasets of service logs from a microservices-based running environment and extract meaningful information (KPIs, business insights, etc). * Data processing, aggregation and visualisation using Apache Spark via Python/ ELK stack. * Flask (Server) Set-up and development of a web application for interactive visualisations using Scikit-learn/Bokeh libraries and a dashboard using D3.js.

Research Assistance: Involved in academic projects dealing with deep learning, computer vision topics. Computer vision: Conceived and developed a tool for evaluating the performance of vision-based detection algorithms (Cyclists detection).

Image Processing: Implemented a Vision-Based Smoke Detector using image descriptors (LBP).

Focus Area: Complex & Intelligent Systems

Focus Area: Image Processing