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Machine Learning Research Engineer
• Research and Development in Machine Learning and Computer Vision since 2004. • Passionate about advances in the ML community. Closely follow all the recent breakthroughs. • Interested in the tech industry (US and French) and startup scene. • Specialities in video editing, face recognition, augmented reality and medical imaging. • PhD in Computer Vision, Machine Learning and Image Processing. • US permanent resident. • Worked at Polar Rose, acquired by Apple in 2010. • Worked at Apple in Cupertino from 2010 to 2015. • Worked at Stupeflix, acquired by GoPro in 2016. • Deep Learning ( CNN, RNN, LSTM, GAN etc. using Keras & Tensorflow ) • Shallow Learning ( SVM, KNN, Random Forest, Deformable Part Model, LBP, HOG etc. ) • Computer Vision ( epipolar geometry, stereo, SLAM, SIFT & corner detection, RANSAC etc. ) • Programming in Python, C/C++, Objective-C with low level optimizations ( GLSL, simd, metal ) • Passionate about photography (regular, aerial and underwater), scuba diving and drones.
Université Côte d'Azur
Doctor of Philosophy (Ph.D.), Medical Imaging, Computer Vision
January 1, 2004 – January 1, 2008
Université Côte d'Azur
Master’s Degree, Computer Vision, Image Processing
January 1, 2003 – January 1, 2004
Université Côte d'Azur
Master’s Degree, Computer Science
January 1, 2002 – January 1, 2003
Université Côte d'Azur
Bachelor’s Degree, Mathematics, Computer Science
January 1, 1999 – January 1, 2002
Self-Employed
Entrepreneur, Freelance in Machine Learning
January 1, 2018 – Present
GoPro
Computer Vision & Machine Learning Researcher
February 1, 2016 – January 1, 2018
Paris Area, France
Stupeflix (Acquired by Gopro)
Computer Vision & Machine Learning Researcher
September 1, 2015 – February 1, 2016
Paris Area, France
Apple
Computer Vision & Machine Learning Researcher
September 1, 2010 – September 1, 2015
Cupertino, CA
Polar Rose (Acquired by Apple)
Computer Vision & Machine Learning Researcher
February 1, 2009 – October 1, 2010
Sophia Antipolis
Siemens Corporate Research
Internship
June 1, 2006 – October 1, 2006
Princeton, NJ
INRIA Sophia Antipolis
Phd candidate in medical imaging
September 1, 2004 – September 1, 2008
Sophia Antipolis
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on research and development within Computer Vision and Machine Learning, primarily in tech giants and startups. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards advanced ML/CV research rather than traditional data analysis, reporting, or business intelligence. This might indicate a potential mismatch in day-to-day responsibilities and team dynamics typically found in a data analyst role. The breadth of skills is deep within ML/CV but not explicitly broad across typical data analyst tools and methodologies (e.g., SQL, BI tools, A/B testing, statistical modeling beyond ML).
Soft Skills & Operational Fit
The candidate's resume highlights a strong research-oriented background, indicating analytical thinking and problem-solving skills. The transition to self-employment suggests initiative and adaptability. However, specific soft skills like teamwork, leadership, or communication in a collaborative setting are not explicitly detailed in the provided job descriptions.