Doha, Qatar
As an avid believer of growth, I aim to constantly develop and expand my skill set with continual grit. I dedicate myself to a life long journey of learning in various fields such as science, management, art, and self-development. Currently, I am completing my BSc in Data Science and AI while building my portfolio to advance in Data Science. I believe a person can be who they want to be if she or he tries; and so I will.
• Conducted recap sessions on discrete structures for fellow students, enhancing their understanding of key concepts like set theory, logical proofs, and discrete probability. • Provided tutoring on introductory AI topics such as data manipulation, visualization, and machine learning through libraries like Pandas, Scikit-learn, and Seaborn to help struggling students improve their understanding of the coursework. • Supported laboratory classes in web development, networking, and database management by addressing their questions to enhance their understanding and application of the concepts.
• Contributed a research initiative aimed to gauge the effectiveness of intervention methods in elevating overall wellness of UDST students, through the data collection and analysis. • Managed a fitness group comprising over 100 members, utilizing data-driven techniques to monitor and analyze individual fitness levels, goals, and progress and contributing to critical club development. • Demonstrated flexibility and great work ethic by frequently conceptualizing and planning on strict deadlines, such as the highly successful storyboard game for the University Summer Skills Program.
• Providing support to student in completing laboratory work and demonstrating proficiency in formatting and installing applications for smooth laboratory and lecture sessions
• Planning entrepreneurship events, promoting startup opportunities, and connecting peers with Qatar’s innovation ecosystem while developing leadership skills as part of the QSTP-UDST ambassadorship program.
• Developed a Graph-RAG system integrating Neo4j knowledge graphs, FAISS embeddings, and LangChain with Arabic AI Large Language Model—FANAR to parse DSM-5 into a 2,600+ node knowledge base, enabling context-aware, culturally aligned mental health support when professionals are not available.
• Working on generative RNN and transformer models for conditional learning in the context of bioinformatics, with a focus on reinforcement-based optimization.
• Showcased a passion for learning by rapidly acquiring React Native skills in less than a week to swiftly meet the demands of the role, developing the UI of our mobile application in iOS and Android.