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Misam
Abbas
Staff AI Engineer
LinkedIn
Misam Abbas is a Staff AI Engineer specializing in Search and Recommendation systems and Responsible AI. Misam has varied experience at leading technology companies including LinkedIn, Dropbox, and Meta, he has made significant contributions to fairness metrics for recommender systems and built large-scale AI systems serving billions of users. At Meta, he developed sophisticated user representation models adopted across multiple product teams. At Dropbox, he led the development of their universal search capability combining semantic and lexical approaches. Currently at LinkedIn, he focuses on responsible AI frameworks for both traditional machine learning and LLM-based systems. Misam holds an MBA from London Business School and a B.Tech in Computer Science from the Indian Institute of Technology. His work focuses on building ethical AI systems and developing frameworks for measuring and improving algorithmic fairness at scale.
05 June 2025 12:50 - 13:10
Constitutional AI vs RLHF
A technical comparison of alignment approaches examining the implementation differences between hard-coded constitutional AI constraints, versus iterative RLHF optimization, with focus on reward modeling and KL-divergence considerations.