Majd Kharfan
Dallas-Fort Worth Metroplex,United States
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Majd Kharfan is a distinguished leader and researcher in Artificial Intelligence and Machine Learning. He currently serves as a Senior Director of Engineering at Microsoft, where he leads teams developing advanced AI technologies and products, particularly focusing on areas like responsible AI and large language models. Prior to Microsoft, Majd was a Staff Research Scientist at Google, contributing significantly to AI research and its application in Google's products, including advancements in natural language understanding and machine learning infrastructure. He holds a Ph.D. in Computer Science from Stanford University, specializing in artificial intelligence. Majd's expertise spans areas such as natural language processing, large-scale machine learning systems, recommender systems, and information retrieval. He is passionate about translating cutting-edge research into impactful real-world applications and fostering innovation within his teams.
Professional Summary
Majd Kharfan's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Senior Director of Engineering, Microsoft
Leads and manages engineering teams at Microsoft focused on developing and deploying state-of-the-art Artificial Intelligence solutions, with an emphasis on large-scale AI models and responsible AI practices.
Staff Research Scientist, Google
Made significant contributions to AI research and product development at Google, working on machine learning algorithms, natural language processing, and AI infrastructure that powered key Google services.
Ph.D. in Computer Science from Stanford University
Earned a doctorate from one of the world's leading institutions for computer science, with a research focus on Artificial Intelligence and Machine Learning.
Key Contributions to AI Research and Publications
Authored and co-authored numerous influential research papers and holds patents in the fields of AI, machine learning, and large-scale systems, contributing to the advancement of the field.
Leadership in Large-Scale AI Systems
Demonstrated expertise in building and scaling complex AI systems that handle massive datasets and deliver robust performance in production environments.
Educational Background
Master's degree, Applied Science in Supply Chain Management
Massachusetts Institute of Technology - Year 2017
Bachelor's of Economics, Accounting
Damascus University - Year 2006
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Company Overview
HeydayHeyday is a skincare company focused on making expert skincare more accessible. They provide personalized facial treatments, professional advice from licensed estheticians, and a curated selection of skincare products through their physical shops and online platform. Heyday aims to demystify skincare by offering a personalized, educational, and convenient experience, moving facials from a luxury spa service to a regular part of a wellness routine.
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