You will get I will review your Generative AI or AI-agent architecture
Project details
You will receive a practical, production-focused review of your Generative AI, RAG, or AI-agent architecture. I assess the complete solution, not only the model, including data flow, retrieval, integrations, identity, security, scalability, reliability, monitoring, evaluation, cost, and deployment.
I have designed and delivered more than 20 production systems, including enterprise-grade AI agents and multi-agent platforms deployed on Microsoft Azure. My approach combines hands-on implementation experience with architecture-level thinking, helping you identify risks early and avoid expensive redesigns.
Depending on the selected package, you will receive a written assessment, prioritized recommendations, an improved target architecture, production-readiness guidance, and an implementation roadmap tailored to your business and technical requirements.
All submitted material is treated confidentially, and sensitive organizational details can be removed or anonymized before sharing.
I have designed and delivered more than 20 production systems, including enterprise-grade AI agents and multi-agent platforms deployed on Microsoft Azure. My approach combines hands-on implementation experience with architecture-level thinking, helping you identify risks early and avoid expensive redesigns.
Depending on the selected package, you will receive a written assessment, prioritized recommendations, an improved target architecture, production-readiness guidance, and an implementation roadmap tailored to your business and technical requirements.
All submitted material is treated confidentially, and sensitive organizational details can be removed or anonymized before sharing.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI Text-to-Speech, AIOps, Natural Language GenerationAI Development Language
PythonAI Tools
Azure OpenAI, Microsoft 365 CopilotAI Models
ChatGPT, GPT-4, LLaMA, OpenAI Codex, WhisperWhat's included
| Service Tiers |
Starter
$250
|
Standard
$500
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 1 | 2 |
AI Model Integration | - | ||
Batch Normalization | - | ||
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | - |
Model Documentation | |||
Model Monitoring | - | ||
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | |||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Yuri
Cloud & AI Solutions Architect | GenAI, AI Agents & Azure
Biaqout, Lebanon - 10:09 am local time
I am a Cloud and AI Solutions Architect specializing in Generative AI, agentic AI, multi-agent systems, enterprise integrations, and secure cloud deployment.
I have designed, developed, and deployed more than 20 production systems while managing the complete delivery lifecycle, from requirements analysis and solution architecture to development, cloud deployment, security, monitoring, and ongoing optimization.
My experience includes building enterprise-grade AI agents and multi-agent systems currently operating in production across web, Microsoft Teams, WhatsApp, and internal business platforms.
I can help you with:
• Generative AI applications and enterprise copilots
• AI agents and multi-agent orchestration
• Retrieval-Augmented Generation and knowledge assistants
• Azure AI and cloud solution architecture
• LLM integration with enterprise systems, APIs, and databases
• AI workflow and business-process automation
• Secure API and identity architecture using Microsoft Entra ID
• Production deployment, observability, scalability, and cost optimization
• Technical architecture reviews and AI implementation roadmaps
My approach is architecture-first and outcome-driven. I do not simply connect an interface to an LLM. I design complete systems that account for security, permissions, data access, orchestration, reliability, evaluation, monitoring, and production operations.
I work across the full solution lifecycle:
1. Business and technical discovery
2. Architecture and technology selection
3. Proof of concept or MVP development
4. Enterprise system integration
5. Cloud deployment and security
6. Testing, evaluation, and optimization
7. Production launch and technical documentation
Core technologies include Microsoft Azure, Azure AI Foundry, Azure OpenAI, OpenAI APIs, Microsoft Agent Framework, Python, C#, ASP.NET Core, Azure Functions, Azure App Service, Container Apps, API Management, Logic Apps, Service Bus, Microsoft Graph, Entra ID, PostgreSQL, Cosmos DB, and vector databases.
Whether you need an architecture consultation, a focused AI proof of concept, or a complete production platform, I can help you move from idea to a secure and maintainable deployed solution.
Steps for completing your project
After purchasing the project, send requirements so Yuri can start the project.
Delivery time starts when Yuri receives requirements from you.
Yuri works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements and architecture review
I review your business objectives, current architecture, technology stack, AI use cases, data sources, integrations, constraints, and specific technical questions.
Technical assessment
I evaluate the solution across model integration, RAG design, agent orchestration, data access, security, identity, scalability, reliability, observability, evaluation, latency, and cost.