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Deployments breaking? Manual releases taking too long? AWS infrastructure becoming difficult to manage? I help startups and SaaS teams build, automate, deploy, and stabilize production infrastructure across AWS and Kubernetes. My work covers the complete path from source code to production: Git → CI/CD → Docker → AWS → Kubernetes → Monitoring I can help with: → AWS infrastructure architecture and deployment → Dockerizing existing applications → Kubernetes / EKS deployments → Terraform Infrastructure as Code → GitHub Actions, Jenkins & CI/CD pipelines → ArgoCD, Helm & GitOps workflows → NGINX, domains, SSL and reverse proxies → Linux server configuration & troubleshooting → Application monitoring and production debugging → Cloud migrations and deployment modernization Full-Stack + DevOps Infrastructure issues don't always stop at infrastructure. Because I also work with Next.js, React, Node.js, APIs, PostgreSQL and modern application architectures, I can troubleshoot problems across both the application and deployment layers rather than handing the issue back and forth between development and DevOps teams. Typical problems I solve Manual deployment → Automated CI/CD Single server → Containerized infrastructure Fragile environment → Repeatable Terraform infrastructure Docker containers → Production Kubernetes deployment Git push → Automated build, test, security scan & deployment Unknown production issue → Logs, metrics, root-cause analysis & fix My focus isn't adding more tools to your infrastructure. It's making your delivery process repeatable, observable, maintainable and reliable. If you're planning a deployment, migrating infrastructure, setting up CI/CD, containerizing an application, or fixing a production environment, send me the architecture or describe what's currently going wrong. I'll tell you how I'd approach it before we start.

🙋🏽 I’m a Senior Full-Stack Developer and AI Integration Specialist with 9 years of experience building production software for international clients and startups. I specialize in SaaS platforms, web and mobile applications, and AI-powered products. I've worked with US clients across time zones for years. I respond fast, communicate clearly, and don't disappear mid-project. I'm available 30+ hours a week and open to contract. What I can help you build: ✅ Full-Stack Applications - React, Next.js, Node.js, Golang, Python, and PostgreSQL ✅ AI & LLM Solutions - RAG chatbots, AI assistants, LLM integrations, and AI agent workflows ✅ SaaS Platforms - scalable applications, dashboards, APIs, third-party integrations, and subscription systems ✅ Web & Mobile Applications - React, Next.js, React Native, and Flutter ✅ Production & DevOps - Docker, CI/CD, AWS, Azure, and production deployments ✅ End-to-End Development - architecture, development, testing, deployment, and ongoing support ⭐ Why you should hire me ⭐ Full Technical Stack: JavaScript, TypeScript, React, Node.js, Golang, Python, PostgreSQL, Docker, AWS, senior-level across all of it, not just one layer. AI That Ships: I don't just experiment with LLMs. I've built AI Development features that went to production and stayed there. Team Lead Experience: Led engineering teams at Turing/OpenAI, ran code reviews, mentored junior developers, and delivered on tight sprint schedules. Always Accessible: Highly responsive, transparent communication, and no surprises on deadlines.

I run production infrastructure and private AI systems on servers you own — Proxmox, Docker, Kubernetes, and self-hosted LLMs that keep your data out of the cloud. If your server is down or your platform needs deploying, I've got you. Day to day I run real production environments — not lab setups: Proxmox clusters, 15+ virtual machines, a K3s/Rancher Kubernetes cluster, Docker deployments, and CI/CD pipelines across multiple products. I work comfortably from the hypervisor up to the reverse proxy. What I do: - Server troubleshooting & recovery — Proxmox, Linux, VPS. Down server back online, root cause found, not just patched. - Docker deployment — Docker Compose, Nginx/Traefik, SSL, CI/CD with GitHub Actions. - Kubernetes — K3s + Rancher in production: Traefik ingress, cert-manager, persistent storage, tested backups. - Migrations — provider-to-provider, VPS consolidation, VMware → Proxmox. - VPN & networking — WireGuard, NetBird, OpenVPN, site-to-site setups. - Self-hosted apps — Nextcloud, n8n, Odoo and more, deployed securely and built to last. - Monitoring — Prometheus + Grafana + Alertmanager for production visibility. - AI/LLM infrastructure — Ollama, self-hosted models, GPU setup, n8n AI agents and workflow automation. - Windows Server & Microsoft 365 — Active Directory, Entra ID, tenant administration. Recent client work: full production stack for a Luxembourg medical practice (Nextcloud, n8n, DocuSeal, self-hosted LLM — patient data never leaves their server), and a two-site Proxmox + Proxmox Backup Server deployment for a US client. How I work: I treat your server like production — because it is. I verify the traffic path and check logs before changing anything, I document what I do so you understand it, and I never make silent changes that could break access. You get a fix that holds, plus a clear explanation of what happened and why. For clients who want peace of mind, I offer monthly server management — proactive monitoring, security updates, backups, and priority response, so problems get caught before they become outages. Tools: Proxmox VE, Proxmox Backup Server, Docker, Docker Compose, K3s, Rancher, Nginx, Traefik, GitHub Actions, Linux (Ubuntu/Debian), WireGuard, NetBird, PostgreSQL, MySQL, Redis, Prometheus, Grafana, n8n, Ollama, Let's Encrypt, fail2ban, systemd. → Tell me what's broken or what you're building — I'll tell you exactly how I'd handle it.

I'm a backend and cloud engineer with 4+ years of experience designing and shipping production systems that scale. My work spans high-throughput microservices, AI/LLM-powered platforms, and cloud-native infrastructure, all built to be reliable, efficient, and cost-effective. Most recently, I lead backend engineering at New Age, where I architect distributed APIs serving millions of requests per day. I've also built AI data pipelines for audio transcription and sentiment analysis, reducing processing latency by 40% using Celery, RabbitMQ, and Redis. My projects speak for themselves. I've shipped the backend for a Grammar AI app with 532,000+ users on the App Store, integrated OpenAI, Claude, and Gemini APIs for document processing, and deployed production APIs across GCP and Azure. I also built an OCR pipeline using Azure Computer Vision for a live currency converter app. I work confidently across the full backend stack, from RAG pipelines and vector embeddings to PostgreSQL schema design, Docker/Kubernetes deployments, and Terraform-managed cloud infrastructure on AWS, GCP, and Azure. Let's build something scalable. Drop me a message and I'll respond within a few hours.

Are your deployments slow, breaking at the worst moments, or costing more than they should? Is your team spending hours on manual releases instead of shipping features? If your CI/CD pipelines are fragile, your Azure infrastructure is growing out of control, or your DevOps processes exist only on paper, you are dealing with a problem that will not fix itself. I am a DevOps Engineer and Azure Architect with 10+ years of experience helping product teams and growing companies build cloud infrastructure that actually works. Whether it is a startup scaling fast or an enterprise team drowning in legacy pipelines, I come in, assess the real state of things, and build systems that are stable, automated, and cost-efficient. My primary expertise is Microsoft Azure and Azure DevOps, end to end. That means everything from designing multi-stage Azure DevOps pipelines and managing releases without downtime, to setting up Azure DevOps RBAC, securing environments, and integrating Azure DevOps with Kubernetes clusters running on AKS. I have built Azure DevOps workflows for teams of 5 and teams of 150, and the approach scales both ways. Every Azure DevOps implementation I deliver is built around real business goals, not just tooling checkboxes. Beyond Azure DevOps, I work across the full infrastructure stack. I design Cloud Architecture using Terraform for Infrastructure as Code, manage containerized workloads with Kubernetes and Docker, and implement Deployment Automation that removes human error from the release process. For data-heavy projects, I build pipelines with Azure Data Factory to handle ETL, orchestration, and integration between services. For teams building decentralized or blockchain-integrated solutions, I have worked with Azure Blockchain Service as part of broader Microsoft Azure infrastructure setups, combining it with the same security and governance standards applied across all environments. As an Azure Architect, I cover Cloud Computing governance, cost optimization, and FinOps practices, so your Azure bill reflects actual usage, not waste. I apply the same structured thinking to Network Security, Linux and Windows Server environments, and multi-cloud setups when needed. When projects require Amazon Web Services, I bring the same DevOps standards to AWS, including AWS DevOps pipelines, CI/CD automation, and infrastructure managed through Terraform. I also work with Google Cloud Platform for teams running workloads across multiple providers. AI Automation is a growing part of what I do. As more teams start integrating AI into their products and workflows, I help them connect those AI components to production infrastructure properly, with reliable pipelines, automated testing, and deployment flows that treat AI workloads the same way as any other service. I also collaborate closely with full stack developer teams to improve release processes, deployment reliability, and infrastructure scalability, making sure the gap between development and operations is as small as possible. What clients usually need help with: ✔ Stabilizing Azure DevOps pipelines and deployment workflows ✔ Building scalable Kubernetes infrastructure ✔ Migrating legacy infrastructure to Microsoft Azure ✔ Reducing cloud costs and improving DevOps efficiency ✔ Designing secure Cloud Architecture for growing products ✔ Automating deployments with Terraform and CI/CD ✔ Improving monitoring, security, and infrastructure reliability ✔ Implementing AI Automation into existing delivery workflows The full technology range I work with includes: Azure DevOps, Microsoft Azure, Amazon Web Services, Google Cloud Platform, Kubernetes, Docker, Terraform, Ansible, CI/CD, Git, SQL, Python, Linux, Windows Server, Azure Data Factory, Azure Blockchain Service, Cloud Architecture, Deployment Automation, Network Security, and more. Certifications: ✅ 8x Microsoft Azure Certified ✅ Kubernetes Certified ✅ Terraform Certified If your infrastructure needs structure, your pipelines need reliability, or your cloud costs are climbing without clear control, send me a message here on Upwork. Describe the situation and I will come back with a clear breakdown and concrete next steps.

I’m a software developer and cloud engineer who has been doing development and architecture work for a while now. Experienced in building & managing large scale applications, websites for small, medium and large sized businesses. Whether you’re trying to win work, list your services or even create a whole online store – I can help! • I’m experienced in .NET/.NET Core, ASP.NET, C#, AWS, Terraform, SQL, Oracle, MySQL, APIs, Microservices, Docker Container, HTML and CSS, jQuery and JavaScript. • I can fully manage project from start to finish. • Regular communication is really important to me, so let’s keep in touch! Here are a few different ways I can help. • As a Developer - You need help leading a development team, or are simply looking for an independent contributor to help out with development. Coding is my first love! • As an Architect - You need help architecting a new product from scratch, or improving an existing one to make it more current, performant, scalable or maintainable. • As a Problem Solver - You have a varying list of ever changing software engineering needs and need someone who can do a bit of everything! • As a Development Manager - You need end to end leadership help with product development & delivery. • As a Product Manager - You need help defining the product requirements, or want someone to work closely & as a liaison between the product owners & developers.