Omnia Abdelrahman Email and Phone Number

Currently working on 3D object reconstruction projects, applying advanced AI techniques for real-world applications. Specializing in segmentation and detection for OCR systems in complex document digitization, handling challenges such as complex fonts and scripts, varied layouts, and multiple languages, and improving segmentation model accuracy to 98% through advanced preprocessing techniques. Developing and optimizing AI models to meet business objectives, including tasks such as training, monitoring, and performance analysis, while researching and implementing innovative ML algorithms and tools. Additionally, building efficient preprocessing and data cleaning pipelines to ensure high-quality model inputs for robust results.

In my role, I provided advisory support to freshmen students, conducted tutorials, and implemented innovative teaching approaches to enhance their learning experience. I engaged with students both in-person and online, employing various tools and facilitating discussion groups to foster interactive learning environments. Encouraging active participation, I cultivated a culture of questioning and introduced creative games, teamwork activities, and competitive exercises to instill enthusiasm for learning. Furthermore, I occasionally assigned group projects to encourage collaboration and idea-sharing among students. Building positive relationships with students was a priority, and I recognized and rewarded their achievements as a means of motivation. Additionally, I carefully assessed the individual strengths and limitations of each student, leveraging this knowledge to reinforce their strengths and address areas for improvement.

Contributed on SIDLAB which is a combination of software and hardware solutions for the analysis and measurement of sound generation and propagation inside duct networks, Specially I worked on Silencer Classifier for reducing the noise level produced inside duct networks.

Started with collecting the data, processing it, Cleaning it, putting it in patterns to work with, and making visualizations, then applied ML algorithms to get the predictions.