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Shadi Mahassel is the Co-founder and CEO of Surge AI, a company at the forefront of providing high-quality data labeling and reinforcement learning from human feedback (RLHF) services, crucial for training and evaluating advanced AI models, particularly large language models (LLMs). With a robust background in product management, data science, and machine learning, Shadi has previously held significant leadership roles, including Head of Product, Data Science & Machine Learning at Quora, where he was instrumental in leveraging data to enhance user experience and platform intelligence. Before Quora, he gained valuable experience as a Product Manager at Google. Shadi is an alumnus of Stanford University, holding both Master's and Bachelor's degrees, likely in Computer Science or a related engineering field. He is recognized for his deep understanding of AI development needs and his commitment to building platforms that enable the creation of more capable, safe, and aligned AI systems.
Shadi Mahassel's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully co-founded and currently leads Surge AI, a prominent data labeling and human feedback platform. Surge AI has become a key partner for many leading AI research labs and companies, providing the critical human-generated data required for training state-of-the-art LLMs and other AI models.
As Head of Product, Data Science & Machine Learning at Quora, Shadi led teams responsible for developing and implementing machine learning models and data strategies that significantly improved content discovery, user engagement, and overall platform intelligence.
Contributed as a Product Manager at Google, working on impactful products and gaining extensive experience in managing product lifecycles in a large-scale tech environment.
Through Surge AI, Shadi is actively contributing to the advancement of AI safety and capabilities by providing sophisticated tools and human intelligence for RLHF, instruction tuning, and model evaluation, which are essential for developing responsible and effective AI.
University of Massachusetts Lowell - Year 1985
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MeshX is a SaaS company providing an Enterprise Architecture Management (EAM) platform. It aims to help organizations visualize, analyze, and transform their IT landscapes collaboratively, enabling data-driven decision-making for IT strategy, modernization, and digital transformation initiatives. Their platform focuses on simplifying complex IT environments and fostering better alignment between IT and business goals.
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