I will build ci cd pipelines and cloud infrastructure for devops, mlops, and secops
Agentic AI, Generative AI, DevOps and AI Automation Expert
Über diesen Service
Still deploying manually? I am a DevOps/MLOps engineer who turns slow, breaking releases into one-click CI/CD pipelines on secure, auto-scaling cloud infrastructure.
I help startups, SaaS founders & dev teams automate releases, deploy ML models and harden cloud security.
WHAT I DELIVER:
* CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, ArgoCD GitOps)
* Cloud setup: AWS, Azure, GCP, DigitalOcean (EC2, S3, RDS, VPC)
* MLOps: MLflow, Kubeflow, model training, serving & deployment
* GPU cloud (Runpod, Vast.ai, Lambda Labs): LLM fine-tuning, inference, vLLM, Ollama
* Cost-effective GPU setup & GPU optimization
* DevSecOps/SecOps: secrets, RBAC, IAM, vulnerability scanning
* Docker containerization & Kubernetes (EKS, GKE, AKS)
* Terraform Infrastructure as Code + Ansible automation
* Monitoring & observability (Prometheus, Grafana, Loki, ELK)
* Nginx/Traefik reverse proxy, SSL, Coolify self-hosted PaaS
Recent Projects:
* ProSKU WMS | AWS DevOps, Docker & CI/CD Platform
* Enterprise Azure Infrastructure Deployment
* Portali.tech | AWS DevOps & Cloud Deployment
No black box handover. Clean docs & runbooks keep your team in control.
Message me for the right DevOps setup.
Mein Portfolio
FAQ
Can you deploy my application to AWS, Azure, GCP, or DigitalOcean?
Yes. I design and deploy production-ready cloud infrastructure on AWS, Azure, GCP & DigitalOcean, EC2, S3, RDS, VPC, load balancing and auto scaling, built with Terraform IaC for security, high availability and cost optimization.
Can you build a CI/CD pipeline for my existing project?
Absolutely. I build automated CI/CD pipelines with GitHub Actions, GitLab CI, Jenkins, or ArgoCD GitOps, covering build, test, security scans, and zero-downtime deployment, so your team ships faster with fewer failed releases.
Can you containerize my application with Docker and Kubernetes?
Yes. I containerize applications with Docker and deploy them on Kubernetes (EKS, GKE, AKS) using Helm, with auto scaling, health checks, and rolling updates for reliable, cloud native production workloads.
Can you deploy machine learning models using MLOps best practices?
Yes. I build end-to-end MLOps pipelines with MLflow and Kubeflow, automated training, versioning, model serving and monitoring, so your ML models move from notebook to scalable production API reliably.
Do you handle GPU infrastructure for LLM fine-tuning and inference?
Yes. I set up cost-effective GPU cloud on Runpod, Vast.ai, and Lambda Labs for LLM fine-tuning and high-throughput inference with vLLM and Ollama, optimized to cut GPU costs without sacrificing performance.
How do you secure my cloud infrastructure?
I apply DevSecOps best practices: IAM with least privilege, RBAC, secrets management, SSL/TLS, network isolation via VPC, and vulnerability scanning baked into your CI/CD pipeline, security by design, not an afterthought.
Can you automate my infrastructure with Terraform or Ansible?
Yes. I write clean, modular Terraform Infrastructure as Code and Ansible playbooks so your entire environment is versioned, repeatable, and disaster-recovery ready, no manual clicks, no configuration drift.
What monitoring and observability do you set up?
I implement full observability with Prometheus, Grafana, Loki, and ELK: metrics, logs, dashboards, and alerting, so you detect issues before your users do and keep uptime and performance under control.
Will my team be able to manage the setup after delivery?
Yes, no black box handover. You receive clean documentation, runbooks and a walkthrough of the full setup, so your developers can operate, extend and troubleshoot the infrastructure independently.
Do you provide support and maintenance after project delivery?
Yes. Every delivery includes post-deployment support to ensure a stable release. I also offer ongoing maintenance, monitoring, and optimization plans. Message me, and we'll shape the right long-term DevOps support for you.

