You will get your web application deployed to Azure with CI/CD and monitoring
Rising Talent
Rising Talent
Project details
I get your .NET application onto Azure properly - not just running, but deployable, monitored and recoverable.
With 12+ years of .NET experience I have moved plenty of apps from a developer laptop to real hosting. The goal is that you can ship a change on a Friday without holding your breath: a pipeline that builds and tests, a staging slot to check it, and alerts that tell you before your users do.
What you get:
• App Service, Container Apps or Functions, chosen for what you actually run
• Azure SQL or PostgreSQL with backups and a tested restore
• CI/CD with GitHub Actions or Azure DevOps, including a staging slot
• Secrets in Key Vault instead of config files
• Application Insights logging, health checks and alerts
• A short document on how to deploy, roll back and read the logs
I also right-size the resources so you are not paying for capacity you never use, and tell you what the monthly bill will realistically look like.
Typical work: first deployment of a new app, moving off shared hosting or a VM, adding CI/CD to a manual process, fixing a fragile setup.
Send me your repository and I will tell you which tier fits.
With 12+ years of .NET experience I have moved plenty of apps from a developer laptop to real hosting. The goal is that you can ship a change on a Friday without holding your breath: a pipeline that builds and tests, a staging slot to check it, and alerts that tell you before your users do.
What you get:
• App Service, Container Apps or Functions, chosen for what you actually run
• Azure SQL or PostgreSQL with backups and a tested restore
• CI/CD with GitHub Actions or Azure DevOps, including a staging slot
• Secrets in Key Vault instead of config files
• Application Insights logging, health checks and alerts
• A short document on how to deploy, roll back and read the logs
I also right-size the resources so you are not paying for capacity you never use, and tell you what the monthly bill will realistically look like.
Typical work: first deployment of a new app, moving off shared hosting or a VM, adding CI/CD to a manual process, fixing a fragile setup.
Send me your repository and I will tell you which tier fits.
Programming Languages
ASP.NET, C#Coding Expertise
Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$95
|
Standard
$400
|
Advanced
$960
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages | 1 | 3 | 6 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code |
Frequently asked questions
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AA
Abdurahman A.
Oct 10, 2015
Sample simple solution project with WPF (C#), Prism, MVVM, EF
About Ivan
.NET Full Stack Developer | React | Angular | AI | .NET
Mykolaiv, Ukraine - 4:25 pm local time
Hi, I'm Ivan. I help SaaS and enterprise teams ship AI that survives production — Azure OpenAI, AI agents, MCP servers and RAG pipelines — built on the .NET and Azure systems I've engineered for over a decade. Most "AI features" fail because they're demos bolted onto a codebase nobody hardened. As an AI integration developer who is also a full stack developer, I build the AI layer and the platform underneath it: auth, data, retrieval, cost control, monitoring, and a deployment you can actually maintain.
🤖 What I do as an AI Integration Developer
✔ AI integration into existing apps — Azure OpenAI, GPT models, function calling, structured output
✔ AI agent development — multi-step agents that call your real APIs and databases
✔ MCP server development — expose your systems as tools to Claude, Copilot and other AI clients
✔ RAG pipelines — document ingestion, chunking, embeddings, vector search, grounded answers
✔ AI-powered document processing — import, export, extraction, classification, summarization
✔ Chatbots and copilots embedded in SaaS dashboards, admin panels and internal tools
✔ AI cost, latency and quality control — caching, model routing, evaluation, guardrails
☁️ What I do as an Azure developer
✔ Azure App Services, Azure Functions, Service Bus, Key Vault, Blob Storage
✔ Azure OpenAI deployment, private networking, managed identity and secrets hygiene
✔ Azure DevOps and GitHub Actions CI/CD, Docker containers, infrastructure as code
✔ Cloud migration and cost optimization — on-prem to Azure, monolith to microservices
⚙️ What I do as a .NET full stack developer
✔ C# / ASP.NET Core backends, REST APIs and microservices — Clean Architecture, DDD, CQRS
✔ React and Angular front ends, TypeScript, NgRx, RxJS — dashboards, admin panels, SPAs
✔ SQL Server, PostgreSQL and MongoDB — schema design, query tuning, migrations
✔ SaaS platforms, B2B products, CRM and ERP systems, WPF desktop applications
✔ Rescuing slow, brittle or half-finished .NET systems — re-architecture and modernization
📊 Experience in numbers
✔ 12+ years as a .NET developer and Azure developer, now focused on AI integration
✔ 5 industries shipped in production: FinTech, healthcare, banking, automotive, IoT
✔ 10 portfolio projects — enterprise platforms, SaaS products and internal tools
✔ Full product ownership on every one — architecture through production deployment
🧩 AI, Azure and .NET services
• AI integration and Azure OpenAI development
• AI agent and MCP server development
• RAG and knowledge-base chatbot development
• AI document import, export and processing automation
• Azure cloud architecture, migration and DevOps
• .NET backend and REST API development
• Full stack web application development (.NET + React / Angular)
• SaaS platform development (multi-tenant)
• Database design, tuning and migration
• Legacy system modernization (monolith → microservices)
• System architecture and technical consulting
🔄 How I work as an AI integration developer
Discovery and use-case scoping → data and system audit → architecture plan → AI prototype you can click → integration into your app → evaluation, guardrails and cost tuning → Azure deployment and CI/CD → handover with documentation → support and scaling
I send working software early and often, not status reports. You see a running prototype before we commit to the full build.
🛠️ Tech stack
C# · .NET 9 · ASP.NET Core · Entity Framework Core · Dapper · MediatR · SignalR · Python · Azure · Azure OpenAI · Azure Functions · Service Bus · Key Vault · MCP · RAG · Vector Search · Angular · React · TypeScript · NgRx · RxJS · Docker · Kubernetes · Terraform · GitHub Actions · Azure DevOps · SQL Server · PostgreSQL · MongoDB · WPF · DevExpress · Clean Architecture · DDD · CQRS
🔷 Why clients hire me as an AI integration developer
• I ship AI into real systems, not demos — integration, data and deployment are the hard part, and that's my background
• 12+ years as a .NET developer means the platform under your AI is production-grade
• One engineer for AI, backend, frontend and cloud — no hand-offs, no coordination tax
• Architecture-first: I'll tell you when AI is the wrong answer and a plain query would do
• Tested, documented, maintainable code you can hand to your own team
📩 If you're looking for an AI integration developer to add Azure OpenAI, an AI agent or an MCP server to your product — or a .NET full stack developer to modernize the platform it runs on — send me your project. I'll reply within 2-3 hours with a clear architecture plan and next steps.
Steps for completing your project
After purchasing the project, send requirements so Ivan can start the project.
Delivery time starts when Ivan receives requirements from you.
Ivan works on your project following the steps below.
Revisions may occur after the delivery date.
Review and plan
I read the app and tell you which Azure services fit, what it will cost per month, and what has to change.
Provision and deploy
I create the resources, deploy the app and the database, and get it running on your domain with HTTPS.