You will get Serverless Azure Function – Razor View to HTML + HTML to PDF Generator
Project details
This is a fully production‑ready serverless PDF generator built in C# using the latest .NET framework and Azure Functions. It converts Razor views to HTML, then HTML to PDF, and supports advanced flows like URL to PDF and JSON to Razor → HTML → PDF.
• Low-cost Azure deployment — runs on consumption plan with 1 million free requests/month
• Flexible triggers — supports HTTP, Storage Queue, Event Grid, and more
• Handles scripts and images — images must be hosted on public URLs
• Enterprise-grade architecture — scalable, secure, and easy to extend
• Ideal for invoices, reports, statements, or any automated document workflow.
• Low-cost Azure deployment — runs on consumption plan with 1 million free requests/month
• Flexible triggers — supports HTTP, Storage Queue, Event Grid, and more
• Handles scripts and images — images must be hosted on public URLs
• Enterprise-grade architecture — scalable, secure, and easy to extend
• Ideal for invoices, reports, statements, or any automated document workflow.
Programming Languages
HTML & CSS, ASP.NET, C#What's included
| Service Tiers |
Starter
$499
|
Standard
$999
|
Advanced
$1,999
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 21 days |
Number of Revisions | 3 | 3 | 3 |
Number of Pages | 1 | 2 | 3 |
Design Customization | |||
Content Upload | |||
Responsive Design | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Page
(+ 7 Days)
+$200
Source Code
(+ 1 Day)
+$1,000About Nadeem
Agentic AI | Azure Architect | AI Services | OpenAI | Enterprise Cloud
Stockholm, Sweden - 3:33 am local time
𝐖𝐡𝐚𝐭 𝐈 𝐃𝐨
• Build AI agents that can reason, act, and collaborate
• Create cross language AI systems using Python + .NET
• Design Azure based architectures for scalable AI workloads
• Develop RAG pipelines, vector search, and knowledge assistants
• Integrate AI into existing enterprise .NET applications
• Build API driven, event driven, and workflow driven systems
• Deploy production AI using Azure AI Foundry & Microsoft Agent Framework (MAF)
• Implement observability, logging, monitoring, and tracing for AI agents
• Use IaC (Bicep, ARM, Terraform) and Azure DevOps for reliable deployments
𝐌𝐲 𝐂𝐨𝐫𝐞 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞
Python – The Intelligence Core
• LLM reasoning, embeddings, and inference
• LangChain, Semantic Kernel (Python), Transformers
• FastAPI microservices for AI logic
• Data processing, pipelines, and model orchestration
.𝐍𝐄𝐓 – 𝐓𝐡𝐞 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨
• Enterprise APIs and backend services
• Authentication, governance, and business logic
• High performance orchestration of Python agents
• Integration with existing .NET systems and enterprise workflows
𝐀𝐳𝐮𝐫𝐞 – 𝐓𝐡𝐞 𝐂𝐥𝐨𝐮𝐝 & 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐢𝐨𝐧 𝐋𝐚𝐲𝐞𝐫
• Azure Functions, AKS, App Services
• Azure AI Foundry for agent deployment
• Monitoring, scaling, and security
• CI/CD, DevOps pipelines, IaC automation
𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝
• Multi agent systems (Coordinator, Reasoning, Data, Action agents)
• Cross language AI workflows (Python intelligence + .NET orchestration)
• Enterprise RAG systems with Azure Search / vector DBs
• AI powered automation for business processes
• Secure, observable, production ready AI platforms
• Hybrid systems that mix Python AI logic with .NET enterprise APIs
𝐓𝐲𝐩𝐢𝐜𝐚𝐥 𝐔𝐬𝐞 𝐂𝐚𝐬𝐞𝐬
• AI copilots for internal teams
• Knowledge assistants for documents, databases, and APIs
• Multi agent automation for operations and support
• AI powered decision systems for enterprise workflows
• Intelligent API layers that combine LLM reasoning + business rules
• Migration of legacy .NET systems into AI enabled architectures
𝐖𝐡𝐲 𝐓𝐡𝐢𝐬 𝐂𝐫𝐨𝐬𝐬 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞 𝐌𝐨𝐝𝐞𝐥 𝐖𝐨𝐫𝐤𝐬
• Python → Best for AI models, reasoning, embeddings
• .NET → Best for enterprise APIs, reliability, governance
• Azure → Best for deployment, scaling, monitoring
Together, they create composable intelligence — AI systems that learn, act, and adapt inside real enterprise environments.
𝐖𝐡𝐲 𝐇𝐢𝐫𝐞 𝐌𝐞
• 15+ years in software engineering
• 6+ years in Azure cloud architecture
• Expert in C#, Python, .NET, Azure, DevOps, IaC
• Strong focus on scalable, secure, production ready AI
• Experience with MAF, Azure AI Foundry, multi agent orchestration
• Clear communication and enterprise level delivery
• Ability to bridge AI research (Python) with enterprise systems (.NET)
If you want an AI system that is intelligent, reliable, and ready for real world use, let’s build it together.
𝐒𝐄𝐎 𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬 (Please Ignore)
Agentic AI Systems, Multi‑Agent Systems, AI Agent Development, AI Agent Integration, Autonomous AI Agents, AI Agent Creation, AI Agent Architecture, AI Agent Orchestration, AI Workflow Automation, AI Agentic Tools, LLM Engineering, GPT Agent Development, Python AI Engineer, RAG Pipelines, LLM Apps, Prompt Engineering, AI Optimisation, MCP Server Development, MCP Client Integration, AI Service Layer Architecture, Knowledgebase Engineering, API‑Driven AI Systems, Healthcare AI Agents, Medical Document Processing, Procurement Automation, Automotive Intelligence Agents, Data Extraction Automation, Document Intelligence, Knowledge Retrieval Agents, Ontology‑Driven AI, Multimodal AI, Voice‑Enabled Agents, OCR‑Powered Agents, Conversational Intelligence, Agentic AI MVP Development, AI Consulting, Startup AI Engineering, Long‑Term AI Collaboration, AI Automation Engineer, AI Systems Engineer, AI Architect, AI Commerce Systems, Agentic AI, AI Agents, Multi-Agent Systems, Agent Frameworks, Tool Calling, Planning Agents, Routing Agents, Decision Agents, AI Agent Development, Intelligent Agents, Autonomous AI Agents, Collaborative Agents, AI Orchestration, Agentic Workflows, AI System Design, Agent Architecture, Self-Orchestrating AI, Adaptive AI Agents, Specialized AI Agents, Agent Coordination, Agent Communication, Task Delegation AI, Workflow Agents, Intelligent Automation, Cognitive Automation,AI, Azure OpenAI, Azure AI Foundry, Azure AI Studio, Azure AI Search, Azure Cognitive Search, Azure Document Intelligence, Azure Form Recognizer, Azure Machine Learning, Azure Functions, Azure Logic Apps, Azure Event Grid.
Steps for completing your project
After purchasing the project, send requirements so Nadeem can start the project.
Delivery time starts when Nadeem receives requirements from you.
Nadeem works on your project following the steps below.
Revisions may occur after the delivery date.
Sample PDF Output
Option 1: You send the HTML content via HTTP POST, and the Azure Function converts it directly to PDF. Options 2 and 3: I’ll design the HTML using Razor views based on your requirements. please share an example of the PDF you’d like to generate.
Content & Styling Details
Share the text, layout, branding, and any CSS/styling preferences you'd like reflected in the PDF