Ramin Mohammadi

Ramin Mohammadi, an adjunct professor and lead AI engineer, dives into the widening skills gap for aspiring AI engineers and data scientists. He reveals that industry now favors mid-level expertise, challenging academic institutions to adapt. Topics include the rise of full-stack expectations, the impact of generative AI on junior roles, and the urgent need for hands-on MLOps training. Ramin also discusses mentorship's critical role in preserving cognitive skills in a tech-driven landscape, and offers insights on how high school programs can better prepare future talent.

Ramin Mohammadi, AI and ML lead at TauSight and adjunct professor at Northeastern, discusses the critical intersection of AI and privacy, particularly in handling sensitive health information. He highlights the alarming rise in healthcare data breaches and the challenges of managing unstructured data. Ramin explains how edge AI models can enhance the detection of protected health information, addressing limitations of traditional methods. He shares insights on the promise of smaller models and federated learning in bolstering data security within healthcare.