rahma melki

Conducted research on 2D and 3D medical image analysis for automated coronary stenosis segmentation using deep learning techniques, improving segmentation robustness for clinical pipelines.

Developed a non-conformance management application to track and manage supplier, client, and internal anomalies, improving traceability of quality issues.

Developed computational models for molecular structure detection from chemical formulas as part of a Master’s research project, improving detection accuracy for structural prediction tasks.

Managed SQL queries and validated banking transactions with the accounting team, and optimized databases to ensure efficiency and accuracy of operations.

Built an application to manage modification requests for structural changes, streamlining change management and organizational workflows.

Developed a recruitment application to collect and manage resumes, facilitating the recruitment process and improving candidate data handling.

PhD research on 2D and 3D medical image analysis for automated coronary stenosis segmentation using deep learning techniques.

Completed a Computer Engineering program with coursework and projects in SQL Server, T24, optimization, and validation; contributed to banking transaction management and database optimization.

Conducted a Master’s research project developing computational models for molecular structure detection from chemical formulas.

Completed the preparatory cycle for engineering studies preparing for entrance to engineering schools.

Obtained a Technical Baccalaureate and developed a non-conformance management application as a capstone project.