nicolas rennert

Nicolas Rennert has a diverse work experience that spans over several years. nicolas is currently the Co-Founder and CTO at ProfessorBob.ai since July 2020. Prior to that, they co-founded ObjectHub in March 2013 and served in that role until July 2020. nicolas also co-founded The AI Institute in July 2019 and worked as the CTO until January 2020. Earlier in their career, Nicolas worked as a Senior Developer at Weborama from September 2012 to March 2013. nicolas also served as an IT Supervisor at les nouveaux constructeurs from an unspecified date in 2005 to August 2012. Additionally, they worked as a CTO Researcher at Magneticasoft from an unspecified date in 2001 to 2004. Finally, Nicolas worked as a Researcher at Symbian in 2000.

Nicolas Rennert has a strong educational background in computer science and algorithms. In 1994, they obtained a Master's degree in Computer Science from Université Paris Cité. The following year, they pursued further studies in computer science and algorithms at the same university, earning a DEA (Diploma of Advanced Studies). nicolas continued their academic journey at Pierre and Marie Curie University, where they completed their PHD in Algorithm and Formal Calculus between 1996 and 2000.

Prior to their university studies, Rennert attended Kellog High School and Sumner High School, where they completed their senior year in 1985-1986.

While the specific details of their enrollment and graduation years are not available for Université Côte d'Azur and Lycée Masséna, it can be inferred that Rennert may have had some involvement with these institutions; however, the nature and extent are unknown.

In addition to their formal education, Rennert has also obtained several certifications from Coursera. These certifications cover various topics in machine learning and deep neural networks, including Sequence Models, Convolutional Neural Networks, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Structuring Machine Learning Projects, Neural Networks and Deep Learning, and Machine Learning. The obtained years for these certifications range from 2017 to 2020.