Shadi Danhash

- Conducted research on leveraging Abstract Syntax Trees (ASTs) in deep learning models for software engineering tasks, with a focus on integrating ASTs into Transformer-based models. - Developed a novel approach for managing tree-like data structures in deep learning models, prioritizing efficiency, accuracy, and generalization. - Designed and implemented data preprocessing pipelines, establishing a robust framework for training and evaluating models across various levels using TensorFlow

- Participated in developing refactoring, and maintaining sensor fusion components in C++. - Wrote unit tests and helped enhance unit test coverage. - Improved accuracy and performance by implementing robust algorithms. - Developed tools in Python to help enhance the development process and visualize the data.

- Participated in the development and maintenance of JumlaTech, an ERP system with many services like CRM and e-commerce applications that was implemented using Odoo. - Developed internal tools for optimizing the development process used by the developer teams. - Used TensorFlow and Deep Learning models to generate art and NFTs.

- Developed more than 8 mobile applications using Android native and Flutter frameworks. - Designed and implemented responsive professional user interfaces. - Co-managed multiple Flutter projects, actively contributing to decision-making, and project planning, and providing training and guidance to team members. - Experienced in: State Management, Firebase, Google Maps, E-payment, and Social Media SDKs.