Luis Tobias
Computer VisionAI 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 AI Engineer
I am a Computer Vision / Deep Learning/ AI engineer. Mainly interested in Scene understanding, Natural Language Processing, Human-Machine interaction and Visual Perception. Graduated in 2014 from the MSc VIBOT: joint master degree from University of Burgundy, University of Girona and Heriot Watt University. Across my career path, I have worked on applications of Deep Learning for object classification and detection, crowd behaviour analysis, mobile computing, X-ray image analysis, HMI on embedded devices, Biometrics, Multimodal models, and lately on Generative AI. I enjoy sharing my passion for AI applications, teaching, coding and mentoring. In my free time I do photography, music and cycling. I am a geek and a Linux enthusiast.
Université Bourgogne Europe
Erasmus Mundus Master in Robotics and Computer Vision, Robotics and Computer Vision
January 1, 2012 – January 1, 2014
Universitat de Girona
Erasmus Mundus Masters in Vision and Robotics, Computer Science
January 1, 2012 – January 1, 2014
Universite de Bourgogne
Master Student, Computer Vision chez Université de Bourgogne
January 1, 2012 – January 1, 2014
University Teknology Petronas
Robotics and computer vision
January 1, 2010 – January 1, 2011
L-Acoustics
Senior AI Engineer
April 1, 2025 – Present
Massy, Île-de-France, France · Hybrid
IN Groupe
Technical Lead
April 1, 2022 – July 1, 2023
Paris, Île-de-France, France · Hybrid
7 Sensing Software
Senior Computer Vision Engineer
February 1, 2021 – February 1, 2022
Paris, Île-de-France, France
Smiths Detection
Research and Development Engineer in Machine Learning for Computer Vision.
January 1, 2018 – February 1, 2021
Greater Paris Metropolitan Region
CEA - Commissariat à l'énergie atomique et aux énergies alternatives
Research and Developement Engineer.
March 1, 2016 – November 1, 2017
Greater Paris Metropolitan Region
Télécom Bretagne
Research and Development Engineer
February 1, 2015 – February 1, 2016
Greater Brest Area
EyeEm
Research Intern
July 1, 2014 – October 1, 2014
Berlin
ISIT, UMR 6284 CNRS
Computer Vision Research Intern
February 1, 2014 – July 1, 2014
Schlumberger
Technician Trainee
January 1, 2012 – May 1, 2012
Villahermosa, Tabasco, Mexico
TobiasPhotoArt
Independent Photographer
May 1, 2011 – February 1, 2021
Greater Paris Metropolitan Region
Human Robot Interaction using Visual and Audio Commands
January 1, 2013 – Present
• Robotics Project course • Control of the robot (Pioneer 3DX) using visual cues and audio using top mount Kinect.
Skin Detection
December 1, 2010 – April 1, 2011
Realtime color based skin detection in normalized rgb colorspace.
Generative AI Engineering with LLMs Specialization
IBM
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across various companies (L-Acoustics, IN Groupe, 7 Sensing Software, Smiths Detection, CEA, Télécom Bretagne) and roles (Senior AI Engineer, Technical Lead, Research and Development Engineer) suggests adaptability and a broad interest in different applications of Computer Vision and AI. The target role of 'Computer Vision' aligns perfectly with their academic background and professional trajectory. The project diversity, though limited in description, also points to a proactive learning attitude. The long tenure at Smiths Detection (3 years) and CEA (1.5 years) indicates some stability. The recent certification in Generative AI Engineering with LLMs shows a commitment to continuous learning and staying current with emerging technologies.
Soft Skills & Operational Fit
The candidate's experience as a Technical Lead and Senior AI Engineer suggests leadership potential and the ability to manage complex projects. Their work on cross-platform software and embedded devices indicates a practical, problem-solving approach. The descriptions, while brief, imply a focus on delivering functional solutions. However, without psychometric test results or interview data, a definitive assessment of soft skills like stress handling or team collaboration is not possible.