Jay Dawani is the co-founder and chief executive officer of Lemurian Labs,
where he leads the company’s mission to reinvent AI infrastructure for
greater efficiency, accessibility and performance. With a background
spanning AI system architecture, hardware-software co-design and performance
optimization, Dawani has built AI-powered systems for autonomous vehicles,
spaceflight and large-scale model deployment. Before founding Lemurian Labs
in 2022, he advised on NASA’s Mars Rover program at Geometric Energy,
focusing on vision-based navigation and planetary mapping. A frequent
speaker and commentator, Jay is passionate about shaping AI infrastructure
to broaden access, accelerate innovation and unlock new frontiers in
intelligent computing.
Chris Vick is the vice president of engineering at Lemurian Labs, where he
leads the development of high-performance, energy-efficient compiler and
runtime systems that enhance GPU utilization for AI workloads. Since joining
in 2025, he has overseen the creation of a GPU runtime once thought to be
unachievable, earning interest from cloud providers, semiconductor companies
and enterprise AI users. Vick brings decades of experience in high-performance
computing and compiler technology, including advancing heterogeneous computing
research at Qualcomm and co-authoring the first optimizing just-in-time
compiler for the HotSpot Java Virtual Machine at Sun Microsystems. He holds
a bachelor’s degree in computer science from Rutgers University and a
master’s degree in computer science from Rice University.
Adam Robertson is the head of AI infrastructure at Lemurian Labs, where he
leads the design of scalable, software-first platforms that simplify AI
deployment across cloud, edge and on-premise environments. A veteran of the
DevOps movement since 2008, he has held leadership roles at Control Plane
Corp, WitnessAI, Flexport, Pinger and Playdom, guiding infrastructure
strategies that support growth, reliability and innovation. Robertson
specializes in multi-cloud Kubernetes deployments, MLOps and cloud-native
architectures, and has shared his expertise through published articles and
industry webinars.
