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Uber ML Engineer on Bridging the Gap Between AI Theory & Real-World Impact

Meet Arushi, a Machine Learning Engineer at Uber with 10+ years of experience across industries like hospitality, consulting, and ride-hailing. From building NLP systems to deploying large language models and driving MLOps at scale—her journey is a masterclass in practical AI.

In this session at NIAT, Arushi shares what truly matters in today’s fast-moving tech landscape: the ability to apply knowledge, not just learn it. She highlights why NIAT’s hands-on, industry-integrated approach is what future AI professionals really need.

💡 What you’ll learn:

How AI is applied across industries

Key insights from building scalable ML systems

Why aligning learning with real-world application is crucial
Start Your Journey with NIAT- https://bit.ly/3ZKyH1u

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