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Benjamin Breton
Benjamin is passionate about data science and enjoys operating in different sectors. His mission is to identify business needs, design an adapting solution, and create value from data. Benjamin has prolific professional experience and has collaborated with 25 startups and large companies during 35 missions.
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Jesús Copado
Jesús is a software engineer with over seven years of experience in deep learning, computer vision, data science, and multiple technologies, including Python. With a bachelor's degree in software engineering and a double master's degree in autonomous systems, he combines academic excellence with diverse industry experience. Fluent in multiple languages and having lived in four countries, Jesús brings a unique global and dynamic perspective to any project presenting complex challenges.
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Hovnatan Karapetyan
Hovnatan is a computer vision engineer with a PhD in applied physics from Stanford. He is passionate about computer vision and image processing. Hovnatan has worked on a comprehensive variety of projects in the field. He is also a well-rounded software engineer, having integrated his solutions both in cloud-based and desktop (Windows, MacOS) environments.
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Grigor Nalbandyan
Grigor is a data scientist with over three years of industry experience in applied machine learning. He focuses on deep learning, computer vision, and natural language processing and has co-authored a paper that was accepted at the Institute of Electrical and Electronics Engineers (IEEE). Grigor is also completing his master's in data engineering and analytics at the Technical University of Munich in Germany.
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Andrei Apostol
Andrei studied computer science in his hometown in Romania and completed his master's degree in AI at the University of Amsterdam. He has accumulated practical experience in AI over years of training, developing data processing pipelines, and deployment. He is an engineer always looking forward to new challenges. Andrei also has academic experience through publishing two papers on neural pruning and quantization, which were well received by the academic community.
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Stefan Mićić
Stefan is an experienced machine learning and machine learning operations (MLOps) engineer with hands-on experience in big data systems. His demi-decade of expertise is supplemented by a master's degree in artificial intelligence. Stefan has worked on problems such as object detection, classification, sentiment analysis, named-entity recognition (NER), and recommendation systems. He is always looking forward to being involved in end-to-end machine learning projects.
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Omar Sayed Mostafa
Omar is a seasoned senior AI engineer with 6+ years of experience in the AI industry, specializing in computer vision, natural language processing, and audio processing. Omar's journey into the world of AI has been fascinating, as he has actively contributed to multiple real-life AI products from inception to deployment. With a combination of hands-on experience and advanced academic training, Omar is well-equipped to tackle any AI challenge.
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Abdellatif Dalab
Abdellatif is a machine learning engineer and data scientist passionate about mathematics and applied research. He currently leads the ML engineering initiative at Repustate, where he develops and deploys custom, multilingual deep learning models for various natural language applications. Abdellatif also designs and engineers deep learning API servers to support the company's core natural language services.
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Batuhan Faik Derinbay
Batuhan is a master of computer science student at EPFL, Switzerland. He's passionate about solving real-life problems with the help of artificial intelligence. His areas of research, studies, and expertise are data science, machine learning, deep learning, computer vision, machine learning operations (MLOps), and data engineering.
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Michel Meneses
Michel is a senior AI/ML engineer with comprehensive experience leveraging the latest AI research into development across multiple domains. With a solid technical background in ML and software engineering, Michel has assisted enterprises in successfully prototyping, benchmarking, and developing cutting-edge AI systems used by millions worldwide while authoring innovative scientific papers and patents.
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Tornike Onoprishvili
Tornike is a data scientist with a solid academic and mathematical background. He specializes in Python TensorFlow 2.0, currently learning reinforcement learning, and is planning to contribute to this field in the near future. Tornike is also regularly busy mentoring aspiring data scientists on their path to greatness.
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