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Farid Bounini is listed as With a strong track record of delivering successful AI projects, I'm excited to bring my expertise to an organization where I can contribute to driving innovation and excellence. at Symbotic, a company with 629 employees, based in Canada, Canada, Canada. AeroLeads shows a matched LinkedIn profile for Farid Bounini.
Farid Bounini previously worked as Machine Learning & Computer Vision Expert at Symbotic and Data scientist and Computer Vision Specialist at Aerotek. Farid Bounini holds Doctor Of Philosophy - Phd, Intelligent/Autonomous And Connected Vehicles from Université De Sherbrooke.
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As an Innovative AI Solutions Expert, I'm results-driven and focused on delivering high-quality outcomes with a collaborative mindset. I possess expertise in machine learning, software development, computer vision, and multi-sensor data fusion that enables me to design innovative solutions. With a strong track record of delivering successful AI projects, I'm excited to bring my expertise to an organization where I can contribute to driving innovation and excellence.
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Montreal
AI Innovation for Warehouse Efficiency: Led the development of cutting-edge machine learning algorithms and computer vision to optimize product handling and warehouse operations. 1- Case Detection & Pose Estimation: Designed, implemented, and deployed AI models for multi-cases (cardboards) pose estimation, enabling automated depalletization and enhancing.
Canada
Real-time Hazmats Detection and Tracking: Contributed to the development of cutting-edge real-time hazmat detection systems in industrial and warehouse environments. 1- Designed and implemented computer vision systems to detect and classify hazardous materials, significantly improving safety standards within industrial settings. 2- Led dataset collection.
Quebec, Canada
Directed the development of innovative plug-ins for Video Management Systems (VMS) integrating computer vision and artificial intelligence capabilities. 1- Designed and developed cutting-edge solutions using Yolo v4, Center Net, Siamese network, Face detection & recognition, Objects color detection with CNN classifiers, Licence Plate Detection &.
Montreal, Canada Area
Spearheaded the design, development, and integration of advanced Intelligent and Connected Vehicles (ICVs) for Test and Validation of Advanced Driving Assistance Systems (ADAS): 1- Systems Design & Implementation: Developed and implemented cutting-edge ICV systems, ensuring seamless integration with ADAS test and validation scenarios. 2- Algorithm.
Montreal, Canada Area
AI Platform Development: Spearheaded the design, development, and integration of software and hardware architectures for AI platforms dedicated to testing and validation of autonomous and connected vehicles. 1- Collaborated with OPAL-RT Technologies and Sherbrooke University (LIV: Laboratory on Intelligent Vehicles) to develop innovative solutions and.
Montreal, Canada Area
Developing cutting-edge AI platforms for autonomous and connected vehicles, while driving innovation in code optimization and hardware adaptation. With expertise in real-time object detection, classification, and ADAS validation/homologation methods, I deliver innovative solutions for the next generation of transportation. 1- AI Platforms for Autonomous &.
Sherbrooke, Canada
My doctoral research focused on developing a comprehensive real-time simulator for intelligent, autonomous, and connected vehicles, leveraging vehicle dynamic simulations from Pro-SiVIC and OPAL-RT products. This enabled efficient modeling of complex scenarios.The main objectives were to build and validate ADAS control algorithms and autonomous driving.
Evry Val d'Essonne, France Area
Master of Science (M.Sc.) in Smart Aerospace and Autonomous SystemsResearch Focus: 1- Traffic Estimation and Control: Developed advanced algorithms and models using Fuzzy Logic to estimate and control road traffic flow, ensuring efficient traffic management. 2- Robot Trajectory Planning in Overcrowded Environments: Designed innovative approaches to robot.
Other employees you can reach at symbotic.com. View company contacts for 629 employees →
Tom Latta
Colleague at Symbotic
Virginia Beach, Virginia, United States, United States
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PL
Paul Lumauig
Colleague at Symbotic
Hayward, California, United States, United States
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JH
Jevontre Hall
Colleague at Symbotic
Kennewick, Washington, United States, United States
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JC
Josh Calaguiro
Colleague at Symbotic
Portsmouth, New Hampshire, United States, United States
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BB
Brandon Banh
Colleague at Symbotic
Richardson, Texas, United States, United States
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EM
Erik Marr
Colleague at Symbotic
Greensboro, North Carolina, United States, United States
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SK
Steve Kohler
Colleague at Symbotic
Montreal, Quebec, Canada, Canada
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WM
Walker Mcbroom
Colleague at Symbotic
Atlanta Metropolitan Area, United States
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AM
Anthony Merkley
Colleague at Symbotic
Canada, Canada
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RC
Ryan C.
Colleague at Symbotic
Greater Pittsburgh Region, United States
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Quick answers generated from the profile data available on this page.
Farid Bounini works for Symbotic.
Farid Bounini is listed as With a strong track record of delivering successful AI projects, I'm excited to bring my expertise to an organization where I can contribute to driving innovation and excellence. at Symbotic.
Farid Bounini is based in Canada, Canada, Canada while working with Symbotic.
Farid Bounini has worked for Symbotic, Aerotek, G.S.D Group Inc., Opal-Rt Technologies, and Université De Sherbrooke.
Farid Bounini's colleagues at Symbotic include Tom Latta, Paul Lumauig, Jevontre Hall, Josh Calaguiro, and Brandon Banh.
You can use AeroLeads to view verified contact signals for Farid Bounini at Symbotic, including work email, phone, and LinkedIn data when available.
Farid Bounini holds Doctor Of Philosophy - Phd, Intelligent/Autonomous And Connected Vehicles from Université De Sherbrooke.
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