Aaroh Jugulum

Aaroh Jugulum's combination of engineering and product experience gives him a practical perspective on identifying technical bottlenecks, evaluating what is worth building, and determining where AI can expand organizational capacity. He works with middle market companies to build full stack systems, from AI agents and data infrastructure to the interfaces that sit on top of them. He specializes in product-driven architecture and scaling platforms from zero to growth with a stubborn willingness to achieve results regardless of approach.

Aaroh also builds and ships his own products across machine learning, agent systems, and applied research tooling. He studied Data Science and Mathematics at Northeastern University, where he learned the importance of data quality and how to put it into practice under real constraints.