Technical Lead (RPA)
Vodafone
Total des années d'expérience :11 years, 5 Mois
Working in RPA COE team at Vodafone Shared Service
Responsible to deliver RPA solutions to Vodafone local markets e.g.( Germany, Italy, India ) using BluePrism
Lead the technical RPA team to deliver robots to Vodafone German (ONB Team) using PEGA
Build RPA Architecture and Solution design documents e.g SDD, PDI, ODI
Responsible to the research and development for the open source and new technologies for RPA
Technologies: Blueprism - UIPath - Pega - RobotFramework - Selenium
Working in LSIC department (Language and Speech Innovation Center)
Own and design sentiment analysis project for slang arabic language from scratch.
Responsible for sentiment analysis model training cycle
Responsible for stability and performance enhancing for Arabic Text to Speech project
Build Arabic Language Stemmer
Great understanding for IVR systems (CISCO, Genesys)
Responsible for integration between ( SA & TTS ) with ( CISCO & Genesys ) IVR Solutions
Responsible for monitoring and reviewing other team members
Technologies: Java - MySQL - Hibernate - Spring Web Service - Angular - Python - Bash Scripts
Working in Telco Team (Developing Telecommunication Applications)
Research, design & implement innovative software solutions and deliver it on-time and with high level of quality.
Own and design Alert Management System solution
Working on migration process between LinkDSL and Orange
Great understand for ISP’s industry.
Develop unit tests and work with Quality Control members on solving the defects.
Learn new technologies and technical skills.
Construct documentation to aid maintenance and code reuse.
Excellent Communication and interpersonal skills.
Technologies: ASP.Net - MVC - Microsoft SQL Server - Entity Framework - LINQ - Web Services - WebAPIs
Diploma Content: BigData Advanced Bigdata Machine Learning Data Mining
Grade: Excellent with Honor ,GPA:3.77 ,Rank: Fourth Place in a class of about 300 students. Graduation Project ( Remote Interaction with Augmented Shared Objects ) Hand Detection Demo http://youtu.be/fsmOkHJ7-Ds Technologies and ML techniques: ARToolkit, OpenGL, Naive Bayes, OpenCV.
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