Mariem Yousef

Developed an automated Qualification Intake Form use case to evaluate large-scale modernization projects via legacy codebase analysis and feasibility assessments, generating structured assessment documentation and architectural recommendations. Dockerized the solution and integrated it with AWS guardrails to keep LLM outputs safe, accurate, and aligned with business rules.

Developed and launched MiRA 1.0 features and initiated MiRA 2.0 from scratch, collaborating with underwriters to align the app with business processes and deliver three releases in 2024–2025. Improved code quality with 80%+ unit test coverage (Jasmine/Karma) and resolved 100% of SonarQube-reported issues, while implementing feature flags (NgRx) and multilingual translation management.

Resolved 30+ front-end issues and implemented 5 new features for an internal Project Health Dashboard using Angular and IBM Carbon Design tracked in Jira. Added accessibility support (including a color blindness view) and integrated models and charts to present key project information.

Developed and launched 3 ART product journeys (Travel, Visit-Visa, Motor), increasing user engagement by 25%. Implemented a Google Maps-based service provider locator (reducing service search time by 40%) and improved user satisfaction by 15% by resolving 60+ post-production issues.

Implemented a new Hassana web application UI to streamline the COVID-19 symptom assessment survey flow, reducing user completion time by 30%. Resolved 5+ critical issues to improve overall user experience and application functionality.

Built two web applications for internal administrators and clients using Java EE (backend) and Angular (frontend). Designed and implemented RESTful APIs to integrate the Angular UI with Java EE services.

Managed and maintained IBM Integration Bus (IIB) message flows to ensure smooth operations and minimize downtime. Documented support and process procedures to improve team knowledge sharing and efficiency.

Developed and deployed a Credit Limit Management solution for handset financing using Spring Boot to improve customer eligibility assessments and streamline financing approvals.

Professional Postgraduate Diploma focused on Big Data and Data Science, including Generative AI, agentic AI, AutoGen, and RAG systems. Supports end-to-end development of LLM-powered agentic applications.

Bachelor of Science in Business Data and Data Science with focused study in Generative AI, Machine Learning, and Big Data. Demonstrated proficiency building LLM assistant, RAG systems, and multi-agent workflows using LangChain and AutoGen.