Summary
Heiko Ludwig is a seasoned technology leader with 11+ years in industry research and platform engineering, currently leading Granite Data Platforms at IBM in San Francisco. He specializes in AI platforms, security and privacy (including federated learning), cloud QoS monitoring and PaaS persistence, combining operational rigor with research-driven innovation. At IBM Research he has led teams on ML inference, performance, reliability and reuse across edge, cloud and hybrid environments, translating research into patents, publications and deployable services. Heiko’s background spans middleware, SLA/QoS management and cloud persistence, giving him a rare cross-cutting view of systems, policy and tooling. Known for mentoring distributed teams and aligning stakeholders from standard bodies to product groups, he excels at moving complex AI systems from prototype to production. His academic training in information systems and long tenure at IBM underpin a pragmatic, evidence-based approach to platform strategy and AI trustworthiness.
11 years of coding experience
17 years of employment as a software developer
Dr. rer. pol Information Systems, Dr. rer. pol Information Systems at Otto-Friedrich-Universität Bamberg
German