Capabilities
Skills & tech stack
AWS Certified DevOps Engineer – Professional. The tools and platforms I use to build, automate and secure AI infrastructure across AWS, GCP and Azure.
AI & MLOps
LLM fine-tuning (Qwen, Gemma)Quantization (NVFP4, Gemma4)vLLMOllamaMLflowDVCNVIDIA GPU schedulingDGX Blackwell (GB10)ClickHouse
Cloud
AWS — EKS, EC2, S3, Lambda, IAM, CloudWatch, Route 53GCP — Cloud Run, BigQuery, GCS, Pub/Sub, Cloud BuildAzure — VMs, AKS, Blob Storage
Kubernetes & Platform
On-prem kubeadmEKSGKEHelmArgoCDRBACNetwork PoliciesPod SecurityCalico CNIDMZ cluster design
IaC & Automation
Terraform (modular, multi-env)AnsibleBashGitOpsBicep
CI/CD
JenkinsGitLab CIGitHub ActionsArgoCDCloud BuildSpinnaker
Containers
Docker (multi-stage)containerdruncHAProxyNginxKafkaMongoDB
Observability & SRE
PrometheusGrafanaELK StackNew RelicCloudWatchGCP MonitoringSLO/SLI design
Security
HashiCorp VaultIstio (mTLS)TrivySonarQubeAWS/GCP IAMKubernetes RBACfirewalldSecurity architecture docs
Programming
Python (NumPy, Pandas, boto3)GoJavaScriptBashC
Databases
PostgreSQLMongoDBRedisBigQueryClickHouse
Currently pursuing
CKATerraform AssociateCompTIA Security+TektonOpenShiftCrossplaneNVIDIA DeepStream