Sequen AI
Mo A. is currently serving as the Chief Scientist at Sequen AI, where the focus is on developing the first Behavior Design Engine for enterprises. Previously, Mo A. was the Head of Data Science and Engineering at Motion MSK and worked at Risalto Health as a Senior Machine Learning Engineer, notable for migrating a deep learning platform to TensorFlow and optimizing transformer models. Mo A. also gained experience as a Machine Learning Engineer at Clarifai, developing custom facial recognition solutions, and at Criteo, where contributions resulted in significant performance improvements using machine learning models. Mo A. holds a Master’s Degree in Computer Science and a Bachelor’s Degree in Mathematics and Computer Science from New York University.
This person is not in any teams
This person is not in any offices
Sequen AI
The first Behavior Design Engine for the enterprise. Sequen isn’t retrofitted AI search or recommendations. It rethinks relevance from first principles. Sequen introduces the first foundational Large Event Model (LEM), trained on billions of user event sequences and built natively on a reinforcement learning infrastructure. LEMs are specialized neural networks that predict the next user event—just as LLMs predict the next word. Sequen’s LEMs are pre-trained on billions of user-site interactions and fine-tuned to optimize for the outcomes you care about. No more fixed pipelines with fragmented infrastructure. Sequen replaces them with a single endpoint that adaptively handles all phases of personalization via LEMs and memory models—all through a sub-25ms API.