Banafsheh Zee

Data Science Research Engineer @Ccam - Commonwealth Center For Advanced Manufacturing

Richmond, VA, US

Lead the development of state-of-the-art ML, deep learning, generative AI, and LLM algorithms and solutions tailored to enhance advanced manufacturing technologies, controlled environment agriculture, process automation, and cooperative robotization, resulting in increased efficiency and precision in manufacturing processes.* Developing Explainable artificial intelligence (XAI) solutions to improve the transparency and accountability of AI systems designed for the clients.* Optimizing the performance of machine learning models and algorithms through rigorous experimentation, hyperparameter tuning, and algorithmic optimizations.* Utilizing Docker containers for packaging and deploying AI models into production environments, ensuring reproducibility, scalability, and ease of maintenance.* Leveraging cloud services like AWS SageMaker for model deployment and management, streamlining the deployment process and enabling CI/CD with existing infrastructure.* Working closely with clients to define project scope, and design and implement customized AI solutions that solves their complex business problems.* Conducting in-depth literature reviews and research to identify and evaluate the most appropriate models and techniques for solving specific business problems. Providing consultation to internal researchers and clients regarding the data science approaches and feasibility of the studies. Delivering reports, documentations, and clear communication to the team.

Colorado State University

Doctor of Philosophy (Ph.D.)

Colorado State University

Master’s Degree