
Senior investment Director, Artificial Intelligence and Big Data — Cybernaut Investment
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
More than 20 years working experience both in famous state company and multinational companies in telecom industry. Strong telecom technical background, especially in network infrastructure; value added services, and real time billing. Rich working experience in public network and private network, good business relationship with China Mobile, China Telecom , China Unicom and OEM partners, Fully understand customer needs, industry standard, government regulations and market trends, Strong capability in strategic thinking, product and market positioning, and business development.
Dalian University of Technology
Maths
January 1, 1985 – January 1, 1989
Cybernaut(China) Investment
Senior Investment Director, Artificial Intelligence and Big Data
June 1, 2015 – Present
Innofidei Inc.
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June 1, 2010 – Present
Comverse Technology, Inc.
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May 1, 2000 – May 1, 2010
Movius Corp.
Manager of Technical Operation
October 1, 1998 – April 1, 2000
Siemens Enterprise Communications
Manager of Sales Support Department
February 1, 1994 – September 1, 1998
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on business development, sales, and management within large corporations. While this indicates a professional and goal-oriented approach, the lack of direct software engineering project experience or technical contributions in recent roles suggests a potential misalignment with a purely technical, individual contributor 'Software Engineer' role. Their experience is more aligned with strategic, managerial, or business-focused positions rather than deep technical development.
Soft Skills & Operational Fit
The candidate's extensive experience in various management and business development roles suggests strong leadership, communication, and strategic planning skills. Their career progression indicates an ability to adapt to different organizational structures and drive business objectives. However, the provided data does not offer direct insights into their day-to-day operational fit for a hands-on software engineering role.