You will get Custom RAG System Built for Your Business - Chat With Your Data

4.6

Let a pro handle the details

Buy Generative AI services from Michael, priced and ready to go.
4.6

Let a pro handle the details

Buy Generative AI services from Michael, priced and ready to go.

Project details

I build custom Retrieval-Augmented Generation (RAG) systems that let you chat directly with your own data — securely, accurately, and at scale.

What sets my service apart is the end-to-end delivery: from multi-document ingestion and vector database setup to LLM integration (GPT-4, LLaMA, Claude), custom UI, and full deployment. You’ll also get an evaluation framework to track answer quality and a system that’s ready for real-world use — not just a demo.

With 5+ years in AI/ML and 20+ successful projects, I’ve built RAG assistants for startups, enterprises, and SaaS platforms, delivering solutions that boost efficiency, cut manual work, and scale seamlessly.
AI Algorithms
Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multilayer Perceptron, Multimodal Large Language Model, Recurrent Neural Network, Transformer Model, Variational Autoencoder, YOLO
AI Applications
AI Chatbot, AI Content Creation, AI Text-to-Image, AI Text-to-Speech, AI-Enhanced Classification, AI-Enhanced Medical Imaging, AI-Generated Art, AI-Generated Code, AI-Generated Video, Automatic Speech Recognition, Conversational AI, Natural Language Generation
AI Development Language
Python
AI Tools
Adobe Firefly, Azure OpenAI, GitHub Copilot, Hugging Face, NVIDIA AI Platform, PyTorch, Streamlit, TensorFlow, Word2vec
AI Models
BERT, ChatGPT, DALL-E, GPT-3, GPT-4, Jurassic-2, LLaMA, Midjourney AI, Naive Bayes Classifier, OpenAI Codex, Stable Diffusion, Whisper
What's included
Service Tiers Starter
$1,500
Standard
$3,000
Advanced
$7,000
Delivery Time 5 days 10 days 15 days
Number of Revisions
2510
AI Model Integration
Batch Normalization
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Database Integration
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Detailed Code Comments
Image Upscaling
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MLOps
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Model Deployment
Model Documentation
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Model Monitoring
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Model Testing & Optimization
Model Tuning
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Natural Language Processing
NLP Tokenization
Pre-Training
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Prompt Engineering
Setup File
Source Code

Frequently asked questions

4.6
8 reviews
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JW

Journey W.
5.00
Mar 12, 2026
Manage Go High Level I had a great experience working with Michael. One thing that stood out to me is his clear and fast communication. He has helped to solve problems that I was facing in the business.

If you’re looking for someone reliable and knowing how to deliver results, I would definitely recommend hiring him!

AH

Asavari H.
5.00
Nov 21, 2025
AI Avatar Development Great experience working with this developer. He delivered good quality work and successfully completed the entire project.

Vs

VSR s.
2.00
Oct 31, 2025
AI Developer - Upgrade the AI Voice Agent

SK

Sai K.
5.00
Oct 31, 2025
MLOps Engineer He is a great resource, gave best

PP

Pierre P.
5.00
Jul 28, 2025
AI Optimization & MVP Proposal for Pierre Pienaar Finest Travel Worked very fast and enthusiastically
Michael E.Status: Offline

About Michael

Michael E.Status: Offline
AI Engineer | 2x AI Founder | AI Agents | OpenClaw | RAG | AI Expert
91% Job Success
4.6  (8 reviews)
Lagos Island, Nigeria - 8:23 pm local time
Once a Structural Engineer, now a 2x AI Founder — I evolved from building physical structures to architecting intelligent systems that scale across industries.

Over the last few years, I’ve led 40+ AI Solutions from Ideation to Enterprise Grade Production. 2 of the companies has been acquired by a Unicorn, and many others scaling up more.

✅ I am a fit if:
You are the direct decision maker or can approve technical direction
You have a project budget of at least $5,000 USD for the first phase
You are targeting $10,000+ in measurable efficiency or operational savings within 90 days
You are ready to begin within the next 2 weeks

❌ I am not a fit if:
Pricing is the primary factor above outcome, speed, and quality.
Your business falls under gambling, adult, or similar restricted categories.
You are not collaborative or not open to strategic guidance.

⚡ Real Results
✅ KairaIQ Platform – Processed 500+ policy documents & automated 90% of manual data workflows using autonomous AI agents

✅ Agentic Microservices System – Reduced latency from 30s → 5s by refactoring into 12 parallel AI services

✅ Government AI Platform – Scaled to 4M+ users with 100K+ daily AI-powered requests
✅ Computer Vision Systems – Achieved 96% accuracy in real-time detection across 142K+ images

✅ AI Automation Pipelines – Eliminated manual data entry by 90% via OCR, scraping & document intelligence systems

✅ Global Experience – Delivered AI systems across US, Nigeria, UK, Netherlands, Spain, Russia, Italy & enterprise-grade distributed environments

🧩 Our Expertise

🔊 AI Systems & Intelligent Automation
Production-grade LLM-powered platforms and agentic workflows
Real-time AI pipelines for document processing, research & decision-making
Multimodal AI systems (text, vision, speech) for enterprise use-cases
Memory-enabled, context-aware AI systems with long-term reasoning

🧠 Autonomous & Agentic Architectures
Scalable multi-agent systems for research, operations & workflow automation
Advanced RAG pipelines with hybrid retrieval (vector + web + structured data)
Distributed task orchestration using Celery, Redis & microservices
Deterministic AI systems with structured outputs and validation layers

🛍️ Applied AI Systems (Industry-Focused)
AI platforms for fashion, marketplaces & enterprise SaaS products
Intelligent document intelligence systems for policy, legal & compliance workflows
AI-powered matching, recommendation & personalization engines
End-to-end automation pipelines for data extraction, enrichment & insights

📊 AI Analytics & Decision Intelligence
Real-time AI-driven dashboards & insight generation systems
Predictive modeling & business intelligence pipelines
Automated reporting with natural-language summaries from structured + unstructured data
High-scale data processing systems handling 100K+ daily operations

💼 Custom AI Systems & Platforms
Enterprise-grade AI SaaS platforms (multi-tenant, scalable, cloud-native)
RAG-based knowledge systems for internal tools & customer-facing products
Computer vision systems (YOLO, VGG) for real-time intelligence
AI-powered workflow automation replacing manual operations at scale

💡 How We Help

🔨 End-to-End AI Product Development
From idea → architecture → MVP → production scale
We don’t just build — we design systems that last

👥 Technical Leadership & Build Execution
Act as AI/Engineering Lead or CTO partner
Architect systems, lead teams, and ensure production delivery
Bring structure, speed, and clarity to complex AI builds

⚙️ Optimize, Refactor & Scale
Transform monoliths into scalable microservices architectures
Improve latency, reduce cost, and increase reliability
Take systems from prototype → production-grade infrastructure

🤝 Why Teams Work With Me
✅ Production-First Mindset – built systems serving millions of users & real workloads

✅ Deep AI + Engineering Expertise – from models → infrastructure → product

✅ Speed with Structure – fast execution without breaking systems

✅ Clear Thinking & Architecture – not just code, but scalable systems design

✅ Global Experience – shipped across US & Africa markets

💬 Let’s Talk
I usually respond quickly.
If you're building or scaling an AI system — I can help you design it right, build it fast, and scale it properly.

📩 Message me — let’s turn your idea into a production-ready AI system.

Steps for completing your project

After purchasing the project, send requirements so Michael can start the project.

Delivery time starts when Michael receives requirements from you.

Michael works on your project following the steps below.

Revisions may occur after the delivery date.

Requirement Gathering & Discovery

Review client’s use case, objectives, and data sources. Confirm chosen AI model, deployment preference, and integration needs.

System Architecture & Planning

Design RAG pipeline architecture (data ingestion → embeddings → vector database → LLM → UI). Share architecture diagram and get client approval before development.

Review the work, release payment, and leave feedback to Michael.