Karan Singh is an experienced MLOps engineer with a strong focus on deploying scalable, automated solutions. With over a decade of expertise, he has designed containerized AI-driven platforms, workloads and pipelines optimized for Kubernetes and multi-cloud environments. His work spans large-scale implementations of generative AI, LLMOps, and ML pipelines, empowering enterprises to drive innovation through intelligent automation. Karan has led impactful projects, including open-sourcing the Kubernetes Recommender System (KRS) , KRS docker extension and contributing to AI/ML communities like MLCommons and Cloud Native AI WG, showcasing his commitment to advancing technologies.