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Research Engineer Manager at Synthesia
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Oxford
Doctor of Philosophy (PhD), Neuroscience
January 1, 2013 – January 1, 2017
Université Claude Bernard Lyon 1
Computer Science, Computer Systems Networking and Telecommunications
January 1, 2006 – January 1, 2007
Universidad de Murcia
Computer Engineering, Area of expertise: Parallel Computing.
January 1, 2003 – January 1, 2010
Synthesia
Research Engineer Manager
July 1, 2025 – Present
Murcia, Región de Murcia, Spain
DataPelago
Member Technical Staff, AI & GPU Engineer
June 1, 2024 – June 1, 2025
Murcia, Región de Murcia, Spain · On-site
JPMorgan Chase & Co.
VP, Applied AI ML Lead, Quant AI
December 1, 2021 – June 1, 2024
Palo Alto, California, United States
NVIDIA
Senior AI Developer Technology Engineer
March 1, 2019 – December 1, 2021
Santa Clara, California
University of Pennsylvania
Postdoctoral Researcher (Machine Learning techniques)
October 1, 2017 – March 1, 2019
Philadelphia
University of Oxford
Software Engineer (CUDA)
June 1, 2015 – October 1, 2017
Oxford, United Kingdom
The Human Connectome Project
Software Developer (CUDA)
February 1, 2012 – May 1, 2015
Oxford, United Kingdom
Universidad de Murcia
Research Assistant (CUDA)
February 1, 2011 – January 1, 2012
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on advanced technical roles, research, and optimization within AI/ML and high-performance computing. While their background is heavily skewed towards engineering and research, the target role of 'Data Analyst' might represent a shift. Their experience in diverse environments like academia (Oxford, UPenn), tech giants (NVIDIA), and finance (JPMorgan Chase) indicates adaptability. However, the direct alignment with typical data analyst responsibilities (e.g., dashboarding, business intelligence, SQL proficiency) is not explicitly detailed in their experience descriptions, which are more focused on model development and optimization. This could indicate a potential mismatch if the Data Analyst role is not heavily focused on advanced ML/AI model analysis and optimization.
Soft Skills & Operational Fit
The candidate's extensive experience in research and development, coupled with roles like 'Research Engineer Manager' and 'VP, Applied AI ML Lead,' suggests strong problem-solving, leadership, and project management skills. Their work on optimizing complex systems implies a detail-oriented and results-driven approach. However, without specific psychometric or English test results, a comprehensive assessment of communication, stress handling, and team collaboration is not possible.