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Principal AI Architect at Huawei
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am interested in all aspects of Artificial Intelligence, and work primarily in Machine Learning and Evolutionary Computation. With my team we are researching the next generation of autonomous telecommunication networks. Google Scholar profile: https://scholar.google.se/citations?user=DTPAgPUAAAAJ&hl=en ResearchGate profile: https://www.researchgate.net/profile/Alexandros_Agapitos DBLP profile: http://dblp.uni-trier.de/pers/hd/a/Agapitos:Alexandros
University of Essex
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2004 – January 1, 2009
University of Essex
Master’s Degree, E-Commerce Technology
January 1, 2003 – January 1, 2004
University of South Wales
Bachelor’s Degree, Software Engineering
January 1, 1998 – January 1, 2002
Huawei
Principal AI Architect
March 1, 2020 – Present
Huawei
Principal Researcher
April 1, 2016 – March 1, 2020
EvoSys
R&D Machine Learning Consultant
January 1, 2013 – May 1, 2015
King's Road Tower, Jeddah, Saudi Arabia, http://www.evosys.biz
Financial Mathematics and Computation Research Cluster, University College Dublin
Senior Researcher
September 1, 2012 – March 1, 2016
Financial Mathematics and Computation Research Cluster, University College Dublin
Postdoctoral Researcher
February 1, 2010 – August 1, 2012
University of Essex, School of Computer Science and Electronic Engineering
Graduate Teaching Assistant
September 1, 2004 – May 1, 2009
University of Essex, School of Computer Science and Electronic Engineering
Research Officer
May 1, 2004 – September 1, 2004
Cultural Fit Analysis
The candidate's background is heavily skewed towards advanced AI/ML research and development, particularly in telecommunications and academic settings. While they possess strong analytical skills, their experience is more aligned with a Machine Learning Engineer, AI Architect, or Research Scientist role rather than a traditional Data Analyst position. The lack of explicit experience with standard data analyst tools (e.g., SQL, Tableau, Power BI, specific ETL processes) and business intelligence applications suggests a potential mismatch with typical Data Analyst responsibilities. Their project diversity is high within the AI/ML domain but lacks breadth in general business data analysis.
Soft Skills & Operational Fit
The candidate's extensive experience in leading research projects and mentoring suggests strong leadership and collaboration skills. Their work on complex AI/ML problems indicates strong problem-solving and analytical abilities. The detailed descriptions of projects and methods demonstrate good technical communication.