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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.
09 October 2025 14:00 - 14:30
Live workshop | Training & refining existing and pre-trained models
This hands-on workshop walks participants through practical techniques for fine-tuning, retraining, and optimizing both custom-built and pre-trained models. We’ll cover approaches for adapting models to domain-specific tasks, improving performance with high-quality data, and mitigating issues such as drift and bias. Attendees will leave with actionable methods and tooling insights for accelerating model refinement in real-world deployments.

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