Cisco Trainer
DOTRUST Lebanon
Total years of experience :11 years, 10 Months
Lecturer on the following topics: Intro to Cybersecurity, Cybersecurity Essentials,
Introduction to Linux, Linux NDG Essentials, IT Essentials, Robotics, and
Artificial Intelligent.
As a member of the Curriculum Development Department, I was responsible for
developing an artificial intelligence curriculum and conducting training for
instructors. (2021)
• Administration and management of Wireless Network
o Very good experience in Ubiquity Unifi System, Controller Pro
• Backup and Security.
o Check that the system is automatically backed up to Synology NAS Storage
o Kaspersky Security center - Management
• Management of Supplies
• User Support
• Planning and implementing future IT developments and undertaking project work.
• Troubleshoot all technology issues.
• Develop and implement policies and securities for Networks data processing and computer systems operations and development.
• Very good experience in Sophos UTM 9, ASA 5506 X with Firepower and Cisco Call manager BE6000S.
• Implementation of Cisco Layer 2 and Layer 3 Switches
• Implementation of Seagate, Qnap and Lenovo NAS Storage, 2 and 4 Bay
• Exchange implementation and migration
• Windows server 2008, 2012.
Broadcasting
o Implementation and installation of Touch’s BTS (indoor-outdoor), by ZTE equipment.
• SWAP and New Sites
• Detect and fix the Radio frequency troubleshooting, solving VSWR alarm problems.
• New sites Establish - management and alarms reporting and troubleshooting|| MLT System.
• BTS internal & external alarm troubleshooting, Remote Electric tilt Alarm.
o Responsible and team leader for ALFA and TOUCH DWDM’s project
• Implementation of Ericson MHL, SPO1460 and SPO1410.
• Network security: ASA 5550, IPS and McAfee SMG 3400
• Administration and Network Security (Windows)
• CPE Speedtouch - configuration and installation.
• Linksys configurations (8 ports).
• Linksys router configuration.
o BBN Network Design:
• Labeling
• Used Microsoft Visio
The objective of my dissertation is to develop and improve a unified graph-based semi-supervised learning framework for jointly estimating the discriminant latent representation and soft label of data instances.
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