Abdelhak Loukkal
Data AnalystAI 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
CTO and co-founder at Imaginario AI (Techstars/ Comcast NBCU lift labs ’22)
In 2016, I graduated from Université de Technologie de Compiègne as a mechanical engineer and decided to embark on a new adventure, Artificial Intelligence. I enrolled in a master's of research at University Paris-Saclay where I had the chance to study machine learning and learn from great professors and class mates. After completing my research internship at SoftBank Robotics Europe where I have worked on deep learning for robotic vision, I had the certainty that I wanted to pursue my career in research. This lead me to pursue a PhD at Renault-Nissan-Mitsubishi alliance and CNRS Heudiasyc laboratory with the aim of improving perception and planning for autonomous vehicles. After 3 years conducting research, I have developed a deep passion for artificial intelligence and also for the creative process behind research. This same creative process motivated me to push the boundaries of innovation even more. Along with my co-founder, we have founded Imaginario.ai and I am now putting all my knowledge and motivation in the development of the next-generation video-understanding AI.
Monash University
Doctor of Philosophy - PhD, Robotics
January 1, 2019 – January 1, 2019
Université de Technologie de Compiègne (UTC)
Doctor of Philosophy - PhD, Deep neural networks
January 1, 2017 – January 1, 2020
Université Paris-Saclay
Master of research , Machine learning
January 1, 2016 – January 1, 2017
Université de Technologie de Compiègne (UTC)
Engineer's degree, Master of science equivalent , Mechanical Engineering
January 1, 2010 – January 1, 2016
Techstars
Founder in residence (Comcast NBCU lift labs)
August 1, 2022 – November 1, 2022
Philadelphie, Pennsylvanie, États-Unis
Imaginario.ai
Co-founder and CTO
July 1, 2021 – Present
États-Unis
Entrepreneur First
Founder in residence (EFPA6)
March 1, 2021 – July 1, 2021
Australian Centre for Robotic Vision
Visiting research student
March 1, 2019 – July 1, 2019
Melbourne, Victoria, Australia
Renault-Nissan-Mitsubishi
Researcher in deep learning for robotic vision
December 1, 2017 – February 1, 2021
Paris Area, France
SoftBank Group Corp.
Research Intern in deep learning for robotic vision/ AI Lab
March 1, 2017 – August 1, 2017
Région de Paris, France
Airbus Group
Supply chain quality intern, Airbus Defence and Space
February 1, 2016 – July 1, 2016
Les Mureaux, Île-de-France, France
SUEZ
Quality Coordinator
September 1, 2014 – February 1, 2015
Doha, Qatar
PSA Peugeot Citroën
Maintenance operator
January 1, 2012 – February 1, 2012
Algiers, Algeria
TOEIC 980/990
TOEIC® Program
June 24, 2026 – Present
Internal Auditor
SUEZ
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's profile shows a strong inclination towards research, innovation, and startup environments. While this demonstrates initiative and a drive for cutting-edge technology, the direct alignment with a traditional 'Data Analyst' role, which often involves more structured data manipulation, reporting, and business intelligence, is not immediately clear. The focus has been heavily on deep learning and robotics, which are more aligned with Data Scientist or Machine Learning Engineer roles. The diverse educational background and entrepreneurial ventures suggest a proactive and learning-oriented individual, which generally contributes positively to cultural fit, but the specific role alignment needs clarification.
Soft Skills & Operational Fit
The candidate's entrepreneurial background suggests strong leadership, problem-solving, and innovation skills. Experience in research and startup environments indicates adaptability, self-direction, and a results-oriented approach. However, the resume lacks explicit descriptions of collaboration within larger teams outside of research settings, which could be a point for further inquiry regarding operational fit in a corporate data analyst role.