Lemurian Labs Adds Java Pioneer Kim Polese to Board, MIT’s Saman Amarasinghe as Technical Advisor
Jay Dawani, Chief Executive Officer at Lemurian Labs

Lemurian Labs has expanded its leadership team with the addition of two prominent figures whose careers have helped define modern computing.
The AI infrastructure company has appointed Kim Polese, founding product manager of the Java programming language, to its Board of Directors and named Massachusetts Institute of Technology (MIT) professor Saman Amarasinghe as a Technical Advisor. The appointments reflect the company’s focus on building the software foundations needed to support the next generation of artificial intelligence.
Lemurian Labs develops software infrastructure to help artificial intelligence and machine learning systems run efficiently across different types of computing hardware. As AI systems move from experimentation to large-scale production, the company is focused on building the underlying software architecture that improves performance, flexibility and long-term scalability.
Kim Polese Joins the Board of Directors
Kim Polese is widely known for her role at Sun Microsystems, where she served as the founding product manager of Java. The language’s cross-platform model reshaped enterprise software development and set a new standard for portability in distributed systems.
Earlier in her career, Polese worked at IntelliCorp, one of the first artificial intelligence companies to go public, where she supported Fortune 100 enterprises deploying expert systems. She later co-founded Marimba, an internet distribution platform that anticipated aspects of today’s connected device ecosystem. Marimba was eventually acquired by BMC Software.
Over the past two decades, Polese has founded and led several technology ventures, including CrowdSmart and Common Good AI, and has advised companies and policymakers on innovation and governance. She previously served on the U.S. President’s Innovation and Technology Advisory Committee and currently sits on the board of the Long-Term Stock Exchange.
“AI is at an architectural inflection point,” Polese said. “The software foundations being built today will influence how systems evolve for years to come. Lemurian is working at that foundational layer, which is why I was interested in joining the board.”
At Lemurian, Polese will advise on long-term strategy, ecosystem development and governance as the company scales its platform and partnerships.
Saman Amarasinghe Named Technical Advisor
Saman Amarasinghe brings deep expertise in compiler design and performance engineering. He is the Thomas and Gerd Perkins Professor of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology and a member of MIT’s Computer Science and Artificial Intelligence Laboratory.
His research has helped advance modern compiler systems used in high-performance computing and machine learning. He has led the development of several influential projects, including Halide, TACO, Simit and Tiramisu, each designed to optimize complex workloads across CPUs, GPUs and specialized accelerators.
Earlier in his career, Amarasinghe founded a technology company that was later acquired by VMware and helped build Sri Lanka’s first internet service provider. His work consistently bridges academic research with real-world systems and software deployment.
“The Lemurian team has cleverly combined numerous novel techniques with 40 years of high-performance compiler research, developing a one-of-a-kind machine learning compiler that I believe will be exceptionally capable,” said Amarasinghe. “It has the potential to go far beyond today’s ML stacks, which are often constrained to a narrow set of kernels and limited architectures.”
As Technical Advisor, Amarasinghe will work closely with Lemurian’s engineering team on compiler strategy and long-term research direction as the company continues developing its solution.
Building AI Infrastructure Across Two Innovation Hubs
Lemurian Labs operates across the Bay Area and Toronto, drawing on both regions’ strengths in advanced computing and artificial intelligence research. Toronto’s rapidly growing AI and systems engineering ecosystem has become an important part of the company’s talent strategy as it expands its engineering and research teams.
As the AI industry shifts from experimentation to large-scale deployment, companies are increasingly investing in the software infrastructure that enables efficient and reliable production systems. Lemurian is actively recruiting engineers and researchers with backgrounds in compilers, performance engineering and distributed systems to support this next phase of development.
By bringing together leadership spanning programming language design, enterprise platforms and advanced compiler research, the company is positioning itself to contribute to the next generation of AI software infrastructure.
