Daniel Amoh

I am a Cloud Engineer with 6+ years of experience supporting government, enterprise, and startup environments, focusing on Linux and Windows system administration, cloud engineering, and DevOps. I bring hands-on expertise across AWS, Azure, GCP, Oracle OCI, and OpenStack combined with strong security and compliance experience.

I have built and optimized CI/CD pipelines, automated infrastructure with Terraform and Ansible, and deployed containerized workloads on Kubernetes and Red Hat OpenShift, consistently reducing deployment times and rollback events. I’ve also led MLOps efforts—fine-tuning LLMs, building RAG pipelines, and productionizing models with TensorFlow and PyTorch to accelerate analytics and anomaly detection.

My work at NASA-facing projects included administering Salesforce GovCloud, integrating Kafka/IBM MQ streaming, and designing hardened, zero-trust architectures that improved compliance and reduced unauthorized access attempts. I’ve driven observability and incident response improvements using DataDog, Prometheus, Grafana, Splunk, and ELK to dramatically shorten detection and remediation timelines.

I am results-driven and security-first, delivering measurable improvements in resilience, cost optimization, and system performance across HPC, GPU compute, and multi-cloud platforms. I seek to apply this cross-functional skill set to solve complex infrastructure and AI/ML challenges in mission-focused teams.