Dipl.-Ing. Salem AYADI

Dates d’emploinov. 2017 – mars 2018 Durée d’emploi5 mois Instadeep is a very fast growing start up, and it's the right place to learn and work on cutting edge projects. With the experts of Instadeep, I worked on Deep Learning projects applied on Images. So our daily tasks were to read the most recent papers and adapt them with the needs of the client. It was a great experience since it introduced me to AI in the real word problems. Computer vision, NLP (CNN, RNN, RCNN and Mask-RCNN)

Centralisation of Data and Anomaly detection: - Log Analysis - KPI Visualization - Anomaly Detection using Machine Learning Tools: - SQL Developer - ELK : Logstash, Elasticsearch, Kibana - Python - Machine Learning : SVM, PCA, TSNE, Random Forest, DBSCAN, Neural Networks Asset Management with Sophis Value

Courses taken: - Foundations of Artificial Intelligence - Statistical Pattern recognition - Machine Learning - Foundations of Deep Learning - Reinforcement Learning - Computer Vision - Robot Mapping (SLAM Course) - Bayesian Optimisation (Hyperparameters optimization - AutoML)