Talal Alrawajfeh

Working on AI solutions such as Automatic Signature Verification, Handwriting Recognition for Cheques, and ID-Card Verification & Recognition. Researching and applying state-of-the-art techniques in Deep Learning to produce accurate models. Building, maintaining, and deploying back-end services for the models and optimizing model inference performance on different hardware. Researching and applying Machine Learning, Statistical Methods, and Image Processing Algorithms for various Computer Vision problems.

Worked with many teams on a white-label personal shopping assistant project which is a Big Data solution with many AI features. Effectively fixed production issues, maintained server-side code, and introduced new features with efficient high-quality code. Researching and adopting latest methods, tools, and frameworks for data collection and analysis. Doing code reviews and participating in knowledge-sharing and learning sessions.

Worked on large-scale electronic financial systems including payment systems and cheque-clearing solutions. Understanding and effectively communicating complex business requirements and workflows. Applying Agile, DevOps, Clean Code, and TDD practices to the software development process. Maintaining legacy software through bug fixing, refactoring legacy code, and introducing new features. Writing new software with high-quality code standards and effectively integrating with third parties.

GPA: 4.0/4.0 Thesis Title: "On D-spaces and Covering Properties"

GPA: 3.83/4.0 Obtained the Degree in a timely fashion.