Omar Aziz

Co-developed a full-stack, N-tier risk-management platform with 20+ modules covering incident tracking, reporting, role-based access, and audit logging for university departments.

Gathered client requirements and delivered a production-grade REST API with full professional documentation.

Designed and built a cross-platform finance app with budgeting, multi-account tracking, savings goals, and data visualization; self-led UI/UX design.

Built an end-to-end black-box evaluation framework for conversational AI, automating multi-turn dialogue testing across 50+ scenarios with distinct user personas. Implemented agent orchestration, asynchronous worker pools, automated response judging, and a real-time results dashboard with anomaly flagging.

Trained regression models (LightGBM, Random Forest, MLP, Gradient Boosting) on a dataset of 1,000+ smartphones to predict market price from hardware specifications and quality attributes, using PCA/feature selection and Optuna-tuned hyperparameters, evaluated via MSE/MAE/R² and cross-validation.

Worked with SAP ERP and gained hands-on familiarity with core ERP workflows, master data, transaction processing, and basic reporting/navigation.

Grade: 3.35/4.0

B.Sc. in Computer Science from the University of Jordan, completed in 2025 with a GPA of 3.35/4.0.

Grade: 99.5%

Activities and societies: AP Calculus AB (5/5), AP Physics 1 (5/5), SAT Subject Physics (800/800)

High School Diploma from Dar Jana International School, graduated with 99.5% and high AP and SAT scores.