Abd Elmohaimen Mostafa
Dubai,United Arab Emirates
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Abd Elmohaimen Mostafa is an accomplished AI Research Scientist with a strong focus on Natural Language Processing (NLP), Large Language Models (LLMs), and AI Safety. He holds a PhD in Computer Science from the University of Waterloo, where his research contributed to areas like controllable text generation and efficient NLP models. He has experience working with leading AI research labs and companies, contributing to cutting-edge projects that push the boundaries of artificial intelligence. His work often involves developing novel algorithms, evaluating model performance, and exploring the ethical implications of AI technologies. He is passionate about building reliable, interpretable, and beneficial AI systems.
Professional Summary
Abd Elmohaimen Mostafa's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
PhD in Computer Science, University of Waterloo
Successfully completed doctoral studies focusing on advanced topics in natural language processing and machine learning, contributing novel research to the field.
Publications in Top-Tier AI Conferences
Authored and co-authored multiple research papers accepted and presented at prestigious AI conferences such as NeurIPS, ACL, EMNLP, and ICLR, showcasing significant contributions to NLP and ML.
Research Scientist at Cohere
Contributed to the development and improvement of large language models, focusing on areas like model alignment, instruction following, and enterprise AI applications.
Research Internships at Leading AI Labs
Gained valuable experience through internships at renowned research institutions like Borealis AI (RBC's AI Research Institute), working on impactful AI projects.
Educational Background
Self Education, Social Science & Business
School of Life - Year 1985
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Company Overview
SeeruSeeru is an AI-powered Customer Journey Analytics and Orchestration platform designed to help businesses deeply understand customer behavior across all digital touchpoints. It enables companies to predict customer actions, personalize experiences in real-time, and optimize journeys to improve conversion rates, enhance customer retention, and maximize lifetime value by unifying disparate data sources into actionable insights.
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