Roberto Rubino

Development of ML models for SDN applications

• Preventive maintenance and Anomaly Detection application has made it possible to identify different types of anomalies and to define degradation thresholds with which to carry out a preventive maintenance action
• Root Cause Analysis application has greatly reduced the analysis time by the telco operators of network faults
• Frequency reuse and optimization application has allowed telco operators to save on frequency reuse, optimizing microwave resources
• Time series forecasting application has allowed telco operators to intervene in advance on the microwave links avoiding traffic loads and offering a better service

Software engineer in the Network Management System team (NMS)

• Full stack development of Network Manager Application with a particular focus to deployment of SDN paradigms

I worked to develop part of the backend code used by airline companies for their billing activity in R&D Department

• C++ programming, Oracle DB/SQL
• Large-Scale Distributed Software.

Study and development of routing algorithms for distribution of informations in wireless mesh networks

• I have been working on wireless mesh networks and analyzed the B.A.T.M.A.N (Better Approach To Mobile Ad-hoc Network) routing protocol

Study and development of Web interface for mobile devices.