Abdullah Khudhair

*Led end-to-end development of ML and AI features for high-traffic platforms with millions of daily users. * Built and fine-tuned multilingual NLP models for classification and sensitive content detection. * Developed image classification pipelines for automated moderation and visual understanding. * Designed RAG systems to enhance context-aware responses and search relevance. * Deployed scalable AI microservices using FastAPI and integrated them with PHP-based systems.

* Led integration of Generative AI and RAG systems to enhance personalization and user engagement. * Deployed and served AI models and APIs using FastAPI within a microservices architecture. * Implemented NLP features for recommendations and automated customer support. * Optimized AI pipelines for performance, scalability, and reliability at scale. * Collaborated with cross-functional teams to align AI solutions with product goals

Project: Zain Iraq - Online portal for telecommunications services across the Middle East and North Africa with over 15M+ daily customers. * Working in an agile team of 8 developers migrating Zain Iraq's legacy online portal from PHP to a microservice architecture using Python, Django, Kubernetes and AWS, which increased the speed of the website by 30+%. * Integrating telecom core systems and web portal backend for tasks like retrieving customer info, providing eligible offers, and enabling subscriptions

Product: Sales System - Software solution designed to collect, store, and manage financial data with 2k+ customers. * Worked in a Scrum team of 3 developers responsible for the implementation of SOLID and DRY principles, and the industry’s best coding practices using Django, Python and AWS. * Conducted weekly sprint meetings, testing and resolving bugs, and also meetings with the customers to resolve feature requests.

Product: Al-Jazeera Radius - Internal platform for a billing system with different features to suit any ISP’s needs with over 35k daily logins. * Worked in a team of 11 developers responsible for the development of the backend architecture using Python & Django. Built major features including the B2C and B2B modules which led to an increase in sales. * Managed payment API & Google Maps for pick-and-drop services. Created custom dashboard, reducing support tickets by 40%.

Product: Cave CRM System - CRM with lead tracking, sales management, and secure data handling. * Worked in a team of 5 developers, building core features for Cave CRM. Developed the authentication and authorization section, as well as the Finance section, utilizing PHP and Laravel technologies. * Increased code performance by 30% and reduced load time by 50% by implementing lazy loading and database indexing.