Ian Buck

Anil Ravindranath

Anil Ravindranath is Founder & CTO of rapt.ai where he leads the team building next gen Agentic-AI automation platform for GPUs. He is an industry veteran with over 20 years of experience in building enterprise products, and previously worked as Technical Director at Data Domain/EMC. Anil worked in system architecture, storage, data mgmt., scheduler algorithms, virtualization and apply heuristics for workload mgmt. and system efficiency. Anil has been granted with over 15 patents.

Charles Alpert

Charles (Chuck) Alpert is Cadence’s AI Fellow and drives cross-functional Agentic AI solutions throughout Cadence’s software stack. Prior to this, has lead various pioneering teams in digital implementation, including Global Routing, Clock Tree Synthesis, Genus Synthesis, and Cerebrus AI.   Charles has published over 100 papers and received over 100 patents in the EDA space.  He is a Cadence Master inventor.  He has served as Deputy-Editor-in-Chief for IEEE Transactions on Computer-Aided Design, chaired the IEEE/ACM Design Automation Conference, and earned IEEE Fellow. He received a B.S. and B.A. Degree from Stanford University and a Ph.D. in Computer Science from UCLA.

John Solensky

John Solensky is the Vice President of Solutions Engineering at DataBank, where he leads a team focused on delivering colocation, cloud, and AI infrastructure solutions. With over 26 years of industry experience , John brings deep expertise in helping enterprises design and deploy secure, scalable, and high-performance platforms.

Since joining DataBank in 2020, John has been instrumental in advancing the company’s solutions engineering strategy, enabling customers to modernize IT environments and harness the power of AI-driven applications hosted in DataBank’s facilities. His leadership emphasizes collaboration, technical excellence, and a client-first approach, ensuring that organizations can rely on DataBank for mission-critical workloads and next-generation innovations.

Mike Alvaro

Michael Alvaro brings over 12 years of industry expertise spanning construction and mathematics to his role as Principal Solution Architect at DataBank, where he serves as technical lead for the data center sales team. Specializing in enterprise colocation solutions, Michael guides organizations through complex infrastructure requirements involving high-performance computing deployments.

As AI workloads rapidly scale across enterprises, Michael has become a trusted advisor for deployments demanding both high-density air cooling and advanced liquid cooling solutions. His unique construction background provides critical insight into physical infrastructure challenges, while his mathematical foundation enables precise optimization of power, cooling, and space efficiency. Michael’s approach centers on translating complex technical requirements into actionable deployment strategies, helping clients understand not just what’s possible, but what’s most cost-effective and operationally efficient.