Khalil Ben Fadhel

Expert in machine learning and deep learning @LEAP Conseil inc.

Computer visionData Ops🧨 ConsultingSensor fusion3d dataExtracting maximum value from dataEmerging techOpportunities in AIC++LiDAR vision🧮 EducationMLOps✔️ IT🧑‍🔬 EngineerComputer engineerML EngineerData ScientistData Engineer

- helps you extract value from your data - creates models for 3d data, image data, and signals - knowledgeable in classic and modern algorithms in the field of computer vision - helps you efficiently manage data annotation workforce with active learning - problem solver and critical thinker about human-machine collaboration - qualifies AI opportunities for your data - finds and recommends the right commercial or free/open-source AI solutions for your need - designs AI projects, puts them on the rails of the success from the formulation stage. - translates vague client requirements into clear requests

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Work Background

Leap Conseil Co-founder/ Machine Learning & Computer vision specialist

Jan. 2019Quebec, Quebec, Canada

VyoOMachine Learning & Computer Vision specialist

Mar. 2018 - Mar. 2019Montreal, Canada Area- Integration of 3D computer vision modules into an object recognition application; - reconstruction of 3D models in point clouds from videos and image sequences (photogrammetry, Structure From Motion) - use 3D data obtained with geometry based recognition algorithms, and machine learning algorithms.

Université LavalTeaching Assistant

Sep. 2016 - Dec. 2018G1V 0A6I work part time at Laval University as a teaching assistant. My task is to animate laboratories, to moderate forum discussions, to program unitary tests and to participate in grading/correcting students'answers sheets. My contribution is in these two courses. - Algorithms and data structures (C++11); - Introduction to programming (Python 3.x);

SGSInternship, Engage project

Sep. 2016 - Mar. 2017CanadaThis project was done within the Natural Sciences and Engineering Research Council of Canada (NSERC) Engage project. It was performed in collaboration between SGS Canada and the Research Group in Machine Learning at Laval University (GRAAL). The aim of this project is to learn to distinguish potential mining targets that may contain precious metal (like Gold) from non potential ones.

Centre de recherche en géomatiqueInternship

Jan. 2014 - Jun. 2014Québec, CanadaStudy of the behavior of 3D features FPFH and NARF for image to 3D point cloud registration.

Tunisie TélécomSummer Internship

Jul. 2013 - Aug. 2013Boulevard De 9 Avril, El Kasbah, Bab Menara, Tunis, TunisiaDesign of optical fiber network for the city of Tunis, North Urban zone 2.