DevOps & Linux Systems Engineer with multi-year hands-on experience in Linux system administration, cloud-native architectures, Kubernetes platforms, observability stacks, CI/CD systems, storage solutions, and enterprise automation.Experienced in designing high-availability (HA) services, defining SLA-driven platforms.
Skilled in distributed systems, GPU containerization, secure infrastructure, artifact management, and GitOps workflows.
SKILLS:
Containers & Orchestration
- Docker, Docker Compose, Containerd
- Kubernetes (Multi-node HA: 3 masters + 3 workers)
- Helm, Ingress-Nginx, Traefik
- GPU Containerization (NVIDIA Docker, CUDA runtime)
Monitoring & Observability
- Prometheus, Alertmanager, Grafana
- ELK / Elastic Stack (Elasticsearch, Kibana, Beats/Fleet)
- Loki, Promtail
- MinIO for logs & artifact backend
Storage & Data Management
- Longhorn (distributed block storage)
- MinIO (S3-compatible object storage)
- TrueNas (ZFS, ISCSI, NFS, SMB)
Automation & Infrastructure
- Ansible (Linux hardening, provisioning, automation)
- Terraform, cloud-init
- Bash scripting, system
- HAProxy (load balancing, redundancy)
Registries & Artifact Management
- Nexus Repository Manager
- Harbor private container registry
- Docker/Helm/Apt proxy repositories
CI/CD & GitOps
- GitLab CI/CD (self-hosted runner, pipeline design)
- ArgoCD GitOps deployment
Linux & System Administration
- Ubuntu Server, RHEL/CentOS
- Networking: DNS, DHCP, routing, firewalls
- Filesystems, logs, performance tuning
- Backup strategy design & automation
Web Hosting & Application Deployment
- WordPress hosting, optimization & security hardening
- Reverse proxying with Nginx/HAProxy
- Caching, SSL configuration, database tuning
Service Design / Reliability
- High-Availability architecture design
- SLA/SLO definition and capacity planning
- Resiliency, redundancy & fault-tolerant design
AI / GPU / MLOps Lab
- NVIDIA GPU, CUDA toolkit
- LLM/GPT containerized inference
- GPU load monitoring & optimization
- Mini-GPT local experimentation
PROJECTS:
- Kubernetes High Availability Cluster (Production-Grade)
- Deployed multi-master HA Kubernetes cluster (3 masters + 3 workers)
- Implemented HAProxy-based control-plane load balancing
- GitOps model with ArgoCD + GitLab CI
- Observability stack: Prometheus, Grafana, Loki, Alertmanager
- MinIO & Longhorn integrated for storage
- Ingress-Nginx with TLS termination & routing
- SLA-driven monitoring, dashboards & alert policies
- GPU & MLOps Lab Environment
- Installed NVIDIA drivers, CUDA, GPU container runtime
- Containerized GPT/LLM workloads
- Collected GPU metrics using Prometheus exporters
- Configured Loki for centralized logs
- Prepared platform for Mini-GPT model training/testing
- Linux Server Hardening & Automation
- Automated baseline security hardening using Ansible
- Enforced SSH policies, firewall rules, auditd, logging
- Automated provisioning for Ubuntu & RHEL servers
- Reduced operational toil using IaC workflows
- WordPress Hosting & HA Website Platform
- Installed & optimized WordPress in production
- Implemented HAProxy/Nginx reverse proxy
- Enabled caching, SSL, security hardening
- Configured backup system & uptime monitoring
- Odoo Enterprise Deployment
- Installed Odoo Enterprise for production environment
- Configured PostgreSQL, workers, longpolling
- Enabled HA proxying and SSL termination
- Automated deployments using Ansible
- Improved reliability and defined SLA/SLO for the service
Max Mac Man
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Max Mac Man
Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Aenean commodo ligula eget dolor. Aenean massa. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus.
Max Mac Man
Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Aenean commodo ligula eget dolor. Aenean massa. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus.
