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AI Project Coordinator

Marty Levi

Marty Levi is an innovative Machine Learning Engineer with over 7 years of experience in designing, developing, and deploying advanced machine learning solutions.

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Professional skills :
Machine learning
60%
Natural language processing
60%
Cloud platforms
70%

Personal experience and biography

Marty Levi is an innovative Machine Learning Engineer with over 7 years of experience in designing, developing, and deploying advanced machine learning solutions. He holds a Master’s degree in Artificial Intelligence and specializes in building scalable ML pipelines, predictive analytics models, and intelligent automation systems. Marty has worked extensively with frameworks such as TensorFlow, PyTorch, and Scikit-learn, applying them to real-world problems in finance, healthcare, and e-commerce. His expertise also spans data preprocessing, feature engineering, and model optimization, ensuring high performance and reliability across applications.

He has collaborated with data scientists, product managers, and software engineers to integrate ML models into production systems, bridging the gap between research and practical deployment. Passionate about innovation, Marty actively experiments with deep learning architectures, reinforcement learning, and generative AI to create cutting-edge solutions. Beyond his professional role, he contributes to open-source ML projects, mentors aspiring engineers, and participates in global AI research communities.

Educational experience :

A Machine Learning Engineer typically requires a strong foundation in computer science, mathematics, and artificial intelligence. Marty Levi’s academic background includes a Bachelor’s degree in Computer Engineering, followed by a Master’s degree in Artificial Intelligence with a focus on applied machine learning. His academic studies covered areas such as statistical modeling, neural networks, natural language processing, and big data analytics. In addition, Marty has completed certifications in cloud-based ML platforms, deep learning, and MLOps practices, further equipping him to design and implement end-to-end machine learning solutions.

B.Sc. in cognitive computing
2015 (Silver oak university)
M.Sc. in deep learning
2018 (Pinehill graduate school)
M.Sc. in AI
2022 (Orchard hill university)