Rayan Ghabashi

بعد أكاديمية كاوست

Rayan joined EY as a consulting intern in February 2026, after finishing a six-month fellowship at Jeel Tamooh with Boston Consulting Group in December 2025. Rayan also completed the KAUST Academy AI for Sports program in September 2025 and began a PwC Middle East sustainability mentorship in January 2026.

المشاريع الصيفية

تخصص الذكاء الاصطناعي · دفعة 2025

Multi-Task Contrastive Learning for Multimodal Soccer Foul Retrieval

A Retrieval system that retrieves past foul verdicts to help referees make a decision on a similar present one

اقرأ التقرير النهائي (PDF)

اطّلع عليه في تقرير البرنامج (PDF)

تخصص الذكاء الاصطناعي · دفعة 2024

A Cost-Efficient, LLM Routing System

In this project, we offer a technique for querying LLMs while maximizing quality, speed, while maintaining minimum cost. First, a semantic cache is established to handle frequent prompts, saving time and money. Then, a router directs simple prompts to low-cost local models like llama, further maintaining the cost. Lastly, if the prompt is set to be urgent by the user, it is passed to a powerful, fast, but costly model such as GPT4o. If the request is not urgent, it is routed to a powerful free model, such as Mixture of Agents, which produces high-quality but slower results. In this study, we discuss our system's architecture as well as the results, which demonstrate the tremendous benefit of combining such basic components. Finally, the report concludes with citations to additional resources.

اقرأ التقرير النهائي (PDF)

اطّلع عليه في تقرير البرنامج (PDF)

مع أكاديمية كاوست

جميع الخريجين

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