Contributor
Gokul Chandra is a principal solutions architect with over 12 years of experience architecting production-scale cloud platforms for global operators and Fortune 500 enterprises. His work spans hybrid and edge cloud deployments, sovereign cloud architectures and large-scale migration and modernization programs across industry verticals. Gokul builds the cloud-native foundations enterprises rely on to run mission-critical workloads at scale, with deep focus on edge inference, distributed AI infrastructure and MLOps and LLMOps platforms that turn model experiments into production systems. He writes and speaks about the architectural decisions that separate prototypes from systems that survive production traffic.
ContributorGokul Chandra is a principal solutions architect with over 12 years of experience architecting production-scale cloud platforms for global operators and Fortune 500 enterprises. His work spans hybrid and edge cloud deployments, sovereign cloud architectures and large-scale migration and modernization programs across industry verticals. Gokul builds the cloud-native foundations enterprises rely on to run mission-critical workloads at scale, with deep focus on edge inference, distributed AI infrastructure and MLOps and LLMOps platforms that turn model experiments into production systems. He writes and speaks about the architectural decisions that separate prototypes from systems that survive production traffic.
