Taylor Mordan
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Computer Vision Engineer at MobiLysis
A Senior Computer Vision Engineer at MobiLysis, with 9+ years of hands-on experience in Deep Learning and Computer Vision. Passionate about leveraging Artificial Intelligence to solve real-world problems. Strong academic background with extensive industry exposure, in international, both research and engineering, environments. Excellent analytical thinking, problem-solving, and troubleshooting skills. Previously a Postdoctoral Researcher in Artificial Intelligence at VITA Lab, EPFL. Completed a PhD degree in Artificial Intelligence at Sorbonne Université, on the topic of Deep Learning for Computer Vision. Before that, received an Engineering degree at École Nationale Supérieure de Techniques Avancées (ENSTA) ParisTech with a Major in Robotics and Embedded Systems, and a Master of Science in Computer Science at Université Pierre et Marie Curie (UPMC) with a focus on Computer Vision.
Sorbonne Université
Doctor of Philosophy - PhD, Artificial Intelligence
November 1, 2015 – December 1, 2018
Pierre and Marie Curie University
Master of Science - MS, Computer Science, specialization in Imaging
January 1, 2014 – January 1, 2015
KTH Royal Institute of Technology
Computer Science, specialization in Artificial Intelligence
January 1, 2013 – January 1, 2014
ENSTA
Engineering Degree, Robotics and Embedded Systems
January 1, 2011 – January 1, 2015
Lycée Clémenceau
Advanced Mathematics, Physics and Computer Science
January 1, 2009 – January 1, 2011
Lycée La Fontaine des Eaux
Final Secondary School qualification, Sciences
January 1, 2006 – January 1, 2009
MobiLysis
Senior Computer Vision Engineer
November 1, 2023 – Present
Lausanne, Vaud, Switzerland
École polytechnique fédérale de Lausanne
Postdoctoral Researcher
August 1, 2019 – November 1, 2023
Lausanne, Vaud, Switzerland
Sorbonne Université
Postdoctoral Researcher
January 1, 2019 – June 1, 2019
Paris, Île-de-France, France
THALES LAS FRANCE SAS
Research Engineer
November 1, 2015 – December 1, 2018
Élancourt, France
Sagem DS
Final Year Internship in Deep Learning and Computer Vision
April 1, 2015 – September 1, 2015
Argenteuil, France
Kyushu University
Research Internship in Robotics
May 1, 2013 – August 1, 2013
Fukuoka, Japon
High Mount Hotel
On-the-job internship in a Japanese hotel
July 1, 2012 – August 1, 2012
Hakuba, Japan
Innosuisse Project with Dartfish
December 1, 2021 – October 1, 2022
Detection of hockey players with skeleton keypoints in videos from ceiling-mounted cameras, in order to analyze players' behaviors automatically. Outperformed both public and Dartfish's internal methods, in detection performance (>90%) and time-performance trade-off.
Job Fair TRIUM
December 1, 2011 – December 1, 2012
Student-run association aiming at the organization of an annual job fair with more than 150 firms, to help students find training periods or jobs, in conjunction with two other Engineering Schools (Mines ParisTech and École Nationale des Ponts et Chaussées (ENPC) ParisTech). Contacted companies in order to invite them to the job fair TRIUM, then assisted them from their applications to the day of the job fair.
ENSTA Robotique
September 1, 2011 – May 1, 2013
Student-run association building several autonomous robots (hardware and software) in order to participate to the French National Cup of Robotics (41st/146) and the International Robotics Challenge (IRC) in Mumbai, India (final stage). Managed budget over one year and developed C++ software.
Cultural Fit Analysis
The candidate's background includes significant academic research and industrial collaboration, which could be a strong fit for an organization valuing innovation and R&D. The diversity of projects, from robotics to large-scale mobility monitoring, indicates a broad interest in AI applications. However, the resume primarily focuses on research and academic achievements. For a pure product-focused ML Engineer role, there might be a need to assess their experience in deploying and maintaining production-grade ML systems beyond research prototypes. The candidate's experience in managing a budget for ENSTA Robotique and organizing a job fair shows initiative and responsibility, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate's experience in supervising students and reviewing papers suggests strong communication and critical thinking skills. Participation in student associations (ENSTA Robotique, Job Fair TRIUM) indicates teamwork and organizational abilities. The description of project work, especially the 'Innosuisse Project with Dartfish' and 'Sagem DS' internship, highlights problem-solving and a results-oriented approach. The 'High Mount Hotel' internship, while not technical, shows adaptability and willingness to engage in diverse experiences.