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Marc Belmont has a diverse background in software engineering and technology roles. Marc is currently serving as the Chief Technology Officer and Co-founder of ParkPow, where they design cloud-based SaaS products and creates and maintains machine learning pipelines for vehicle identification using machine learning.

Prior to ParkPow, Marc was self-employed as a Software Engineer and Entrepreneur, specializing in machine learning. Marc worked on various projects, including an object detection system for satellite images, an image similarity system based on GAN, and a deep learning system for web content navigation. Marc is proficient in technologies such as PyTorch, Scikit-learn, Numpy, and TensorFlow.

Marc also has experience as a Senior Software Engineer at Lydi, where they utilized artificial intelligence to find and contact potential clients. Marc worked on reaching decision-makers at target companies.

Earlier in their career, Marc worked as a Software Engineer at Cotton On Group, where they contributed to the development of their websites using Python/Django and jQuery/Backbone. Marc implemented caching layers and worked on continuous integration and testing.

Additionally, Marc gained experience as a Software Engineer at Gostai, building a web interface to manage and interact with surveillance robots. Marc also served as the Lead Developer at Uptogo and a Consultant at Adneom.

Marc's professional journey began as an Analyst at Zonebourse/Surperformance, where they created a financial technical analysis framework. Marc also worked briefly as a Developer at Gameloft.

Overall, Marc Belmont possesses a strong foundation in software engineering, machine learning, and technology leadership roles.

From 2000 to 2005, Marc Belmont attended EPITA: Ecole d'Ingénieurs en Informatique, where they pursued a Master of Engineering - MEng degree. During their time at EPITA, Marc's education focused on computer science, algorithms, project management, software conception, and software analysis.