You will get AI Architecture Review - LLM, RAG, and Agent Production Readiness
Project details
Your AI feature works in the demo. But LLM integrations, RAG pipelines, and AI agent systems fail in ways that traditional software testing misses: hallucination under edge inputs, retrieval drift as data grows, prompt injection through user-facing fields, runaway API costs at scale, and agent loops that never terminate.
I review your AI architecture end-to-end: model selection and integration, prompt design and guardrails, retrieval pipeline quality, agent orchestration logic, cost controls, security boundaries, and production observability. You get a written AI risk summary with severity ratings and a prioritized remediation plan.
I bring 25+ years in software and 15+ years as an enterprise architect. I created and led a multi-agent AI platform from prototype to production with a 16+ engineer team. I work daily with LLMs, RAG systems, and coding agents.
This reviews your existing AI codebase only. I don't review vendor proposals, architecture documents pre-build, or produce compliance classification. For those, contact me directly.
This is an assessment, not implementation. I review your system design and AI integration patterns. I don't build features or fine-tune models.
I review your AI architecture end-to-end: model selection and integration, prompt design and guardrails, retrieval pipeline quality, agent orchestration logic, cost controls, security boundaries, and production observability. You get a written AI risk summary with severity ratings and a prioritized remediation plan.
I bring 25+ years in software and 15+ years as an enterprise architect. I created and led a multi-agent AI platform from prototype to production with a 16+ engineer team. I work daily with LLMs, RAG systems, and coding agents.
This reviews your existing AI codebase only. I don't review vendor proposals, architecture documents pre-build, or produce compliance classification. For those, contact me directly.
This is an assessment, not implementation. I review your system design and AI integration patterns. I don't build features or fine-tune models.
AI Algorithms
Large Language ModelAI Applications
AI Chatbot, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AI-Enhanced Medical Imaging, AI-Generated Code, Conversational AI, Image Analysis, Sentiment Analysis, Speech Synthesis, Synthetic Data Generation, Text RecognitionAI Models
ChatGPT, LLaMA, OpenAI CodexWhat's included
| Service Tiers |
Starter
$2,000
|
Standard
$3,500
|
Advanced
$4,000
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 4 days |
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 Dimitar
Senior Enterprise Architect - SaaS Code Reviews & Production Readiness
Plovdiv, Bulgaria - 2:21 pm local time
That starts with a read-only production-readiness review: your top risks, a go/no-go verdict, and what to fix first. For teams that need more, it extends into architecture and hands-on AI engineering.
25+ years in software, including 15+ years architecting enterprise transformations at a tier-1 strategy consultancy and as Global VP of AI at a listed European digital services firm. My background spans core rewrites, monolith decoupling, greenfield builds, and the full prototype-to-production journey.
I also built AI development tooling from the inside: agent orchestration, RAG, and multi-agent workflows - and took a multi-agent platform from prototype to production with a 16+ engineer team. I build daily with Claude Code, Cursor, Codex, and the same AI coding tools your team uses.
Reviews (Project Catalog below): read-only code review of one repository. Written memo, ranked risks, recorded Loom walkthrough. 2-5 business days, fixed price. Reviews are independent - I don't sell remediation on the back of them.
Architecture: fix-vs-refactor-vs-rewrite decisions, production blueprints, target-state architecture, and technical due diligence on acquisition targets. Fixed-price, scoped after a short conversation.
AI engineering: agent systems, RAG pipelines, AI-native tooling, and multi-agent orchestration - from prototype through production. I build, not just advise.
Message me for architecture and AI engineering work.
Steps for completing your project
After purchasing the project, send requirements so Dimitar can start the project.
Delivery time starts when Dimitar receives requirements from you.
Dimitar works on your project following the steps below.
Revisions may occur after the delivery date.
Access & Scope
Mutual NDA signed, read-only access to AI components granted, scope confirmed based on tier.
AI Architecture Assessment
Principal-led review of model integration, RAG pipeline, agent orchestration, guardrails, and cost controls.