Cloud Video Streaming Engineer at Bedrock Streaming
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Tongji University
Master's degree, Computer Software Engineering
January 1, 2012 – January 1, 2013
EPITECH - European Institute of Technology
Master's degree, Computer Science
January 1, 2009 – January 1, 2014
Lycée Dorian
Baccalauréat, STI Génie Electronique
January 1, 2007 – January 1, 2009
Bedrock Streaming
Cloud Video Streaming Engineer
November 1, 2024 – Present
Greater Paris Metropolitan Region · Hybrid
CANAL+ Group
Software Architect / R&D Engineer
August 1, 2019 – November 1, 2024
Greater Paris Metropolitan Region
Blacknut SAS
Data Science & Machine Learning
November 1, 2017 – June 1, 2019
Greater Paris Metropolitan Region
actvt / Showdown.cc
Computer Vision & Machine Learning
November 1, 2015 – November 1, 2017
Greater Paris Metropolitan Region
actvt / Showdown.cc
R&D Engineer
February 1, 2015 – November 1, 2015
Greater Paris Metropolitan Region
Diveboard
Responsive Web Development
September 1, 2014 – February 1, 2015
Greater Paris Metropolitan Region
Freelance
Webmaster / Database Admin Consultant
November 1, 2013 – Present
Greater Paris Metropolitan Region
Diveboard
Android Developer
September 1, 2013 – February 1, 2014
Greater Paris Metropolitan Region
Visibility Internet
Web developer & Database administrator
December 1, 2010 – August 1, 2012
Greater Paris Metropolitan Region
GitLab Certified Associate
GitLab
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse professional background spanning video streaming, gaming, and web development, with significant experience in data science and machine learning. While the target role is 'Data Analyst', their recent experience leans heavily towards Cloud Video Streaming Engineering. This broad experience could be a cultural asset, bringing varied perspectives, but the recent shift away from a pure data role might require clarification regarding their current career aspirations. The lack of explicit project details makes it harder to assess collaboration styles.
Soft Skills & Operational Fit
The candidate's experience in R&D and architect roles suggests strong problem-solving, analytical thinking, and potentially leadership skills. Their work on user behavior analysis and KPI reporting indicates a focus on business impact and data-driven decision-making. The diverse project background implies adaptability and a willingness to learn new domains.