production deployment , MLops, Pytorch, Openshift, Kubernetes, data pipelines, LLMOps, inference, distributed training, Red Hat AI Platform, vLLM, Kubeflow, agile DevOps, AI ML systems

Apis, Prometheus, Windows, Grafana, Linux, Kubernetes, AWS, Etl, Groundcover, message queues, cloud-native technologies, DevOps Support, Technical Support L1 and L2, observability tools, webhooks, Site Reliability Engineering

SAP, Linux, Kubernetes, Iot, Cloud Native, SUSE Rancher, Telco, Ai, EDGE

Distributed Systems, Programming Languages, GPGPUs, AI Accelerators, MLPerf, modern data center architectures, server LLMs, high-performance computing, vLLM Benchmarking

Agile Methodology, Devops, MLops, Tech team management, Data AI and software development, Product Design, Business model creation, Tech robotic data digital product development

Orchestration, Predictive Analytics, Gcp, Azure, Kubernetes, AWS, data pipelines, generative AI, AI infrastructure, GPUs, cloud platforms, MLflow, Ray, agentic systems, hybrid architectures, intelligent automation, observability tooling, model serving

Spark, Tensorflow, Golang, Rust, Restful Apis, Pytorch, Python, Kubernetes, Terraform, Apache Kafka, MLflow, Kubeflow, GitLab CI, LangChain, prompt engineering techniques