Kishore Aradhya

About

Kishore Aradhya is an Adjunct Faculty at Northeastern University and a senior technology leader with over twenty-five years of experience in developing and scaling diverse technology organizations, spanning startups to Fortune 500 companies. Most recently, as Senior Director of Advanced Analytics and Data at Stanley Black & Decker, he led AI and Enterprise Data Platform Engineering teams, moving GenAI and LLM  technologies to the forefront while heightening the utilization of critical Data Insights for key executives. Throughout his career, Kishore has consistently championed data-driven decision-making, providing invaluable business insights to executive leadership.

Kishore teaches Data Engineering: Impact of Generative AI and LLM and plans to continue to teach and expand that further in the future. His expertise further extends to crafting production-ready Enterprise Data Platforms for Analytics, Machine Learning, and BI applications. This spans the design, development, and architecture of highly scalable enterprise SaaS cloud services, inclusive of Customer and Analytics Data Platforms, Data Engineering, Search, mobile, and e-commerce solutions. Notably, he also spearheaded an NLP and Computer-Vision-driven document extraction research initiative, introducing key innovations in Adobe Document product features.

Kishore Aradhya has an MBA from UMass, Amherst Isenberg School of Business and an MS in Computer Science from Bridgewater State University and multiple executive and academic certifications from MIT, Stanford and Harvard professional programs. Outside his primary roles, he is an active contributor to the industry as a CDO Magazine Editorial Board Member, an Industry Advisory Board Member at DVSum (an AI Data insights startup), and a Product Advisory Council Member at Kensu (an Enterprise Data Observability startup).

Furthermore, Kishore offers strategic advisories to various startups and founders, focusing on enterprise market fit and other technical and Go To Market (GTM) strategies.