아린담은 NetApp의 첫 번째 테크니컬 펠로우입니다. 그는 또한 NetApp 플랫폼 부문 수석 아키텍트 겸 부사장으로서 NetApp의 기술 비전, 전략 및 아키텍처를 이끌고 있습니다. 현재 차세대 AI 인프라 및 AI 데이터 플랫폼의 아키텍처 및 설계를 주도하고 있습니다. 아린담은 분산 스토리지 인프라 및 데이터 플랫폼 분야에서 25년 이상의 경력을 보유하고 있습니다. 그는 NetApp에서 19년간 근무하며 파일 시스템, 분산 스토리지 및 AI 분야에서 수많은 혁신을 이끌어 왔습니다. 아린담은 컴퓨터 데이터 시스템 및 기술 분야에서 500회 이상의 인용을 기록한 50건 이상의 특허 및 특허 논문을 저술하거나 공동 저술하였습니다.

Shiva Subramanyam is the Vice President of AI Engineering at NetApp. With more than 16 years of expertise in developing large-scale distributed backend systems, Shiva spearheads the engineering efforts behind NetApp's cutting-edge solutions in AI, governance, and Kubernetes. His team is dedicated to advancing NetApp's mission to create the next-generation AI data engine, focusing on guardrails, governance, cloud-native, and AI-driven insights across enterprise storage. This work aids organizations in accelerating their AI journey in a compliant and secure manner. Before joining NetApp, Shiva held senior engineering positions at Salesforce, where he led cloud-native transformations and scaled resilient infrastructure for thousands of customers worldwide.

Tore is a product leader with 20+ years building AI-powered, category-defining products at Microsoft, Google, and now NetApp. One standout achievement was leading the concept, pitch, build, and launch of Microsoft Office’s first machine-learning stack and AI features, reshaping how hundreds of millions work. Across roles, he has repeatedly spotted high-impact opportunities, set vision and roadmaps, developed world-class teams, and forged product and partner ecosystems that have delivered breakthrough innovation. His work spans product strategy, design, UX, data platforms, and GTM, consistently turning new technology into durable customer value at global scale. At NetApp, he’s helping shape and lead the company’s AI vision and product portfolio—uniting data discovery, security and privacy, transformation, and semantic search/retrieval to bring governed, cutting-edge, production-ready AI to the enterprise - so organizations ship high-scale, high-perf, compliant AI products much faster.\n