You will get AI Infrastructure & Architecture Audit
Project details
I help startups and enterprise teams design, optimize, and scale AI platforms, cloud infrastructure, and backend systems built for real production environments.
This project focuses on scalable AI architecture, cloud-native infrastructure, DevOps workflows, APIs, and operational reliability across Azure, AWS, and GCP environments.
I work across both architecture and implementation, helping teams improve performance, scalability, integrations, automation, observability, and deployment workflows without unnecessary complexity.
Experience includes AI-assisted operational systems, enterprise SaaS platforms, Kubernetes infrastructure, API platforms, cloud optimization, real-time analytics systems, and large-scale backend architectures.
This project focuses on scalable AI architecture, cloud-native infrastructure, DevOps workflows, APIs, and operational reliability across Azure, AWS, and GCP environments.
I work across both architecture and implementation, helping teams improve performance, scalability, integrations, automation, observability, and deployment workflows without unnecessary complexity.
Experience includes AI-assisted operational systems, enterprise SaaS platforms, Kubernetes infrastructure, API platforms, cloud optimization, real-time analytics systems, and large-scale backend architectures.
AI Algorithms
Autoencoder, Convolutional Neural Network, Large Language Model, Multimodal Large Language Model, Regression Analysis, Transformer Model, YOLOAI Applications
AI Chatbot, AI Mobile App Development, AI Text-to-Speech, AI-Generated Code, AI-Generated Video, Anomaly Detection, Conversational AI, Image Analysis, Image Processing, Image-to-Image Translation, Time Series Analysis, Time Series ForecastingAI Development Language
PythonAI Tools
Azure OpenAI, Bing AI, GitHub Copilot, Gradio, Hugging Face, Jasper AI, PyTorch, Replit, Streamlit, TensorFlowAI Models
BERT, BLOOM, ChatGPT, DALL-E, GPT-3, GPT-4, LaMDA, LLaMA, OpenAI Codex, Stable Diffusion, WhisperWhat's included
| Service Tiers |
Starter
$400
|
Standard
$2,000
|
Advanced
$7,000
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
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 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$100 - $2,000
Additional Revision
+$100
Scope Changes and Additional Customizations
(+ 5 Days)
+$300About Mohamed Fazaary
Tech Wizard | Multi-Cloud AI Architect (AWS/Azure/GCP) | Full-Stack De
Coimbatore, India - 8:13 pm local time
I’m Mohamed Fazaary, Founder and Technical Lead at RaynX.ai.
Over the last 8+ years, I’ve worked across AI platforms, enterprise SaaS systems, cloud infrastructure, DevOps, and large-scale backend architecture — leading projects from early MVP stages to production systems serving real users at scale.
Most of my work sits in the intersection of:
AI systems, cloud-native infrastructure, platform engineering, enterprise integrations, and scalable backend development.
I work hands-on across architecture, infrastructure, and implementation.
Core areas I work in:
* AI-powered platforms and operational workflows
* Enterprise SaaS architecture
* Cloud infrastructure on Azure, AWS, and GCP
* Kubernetes, Docker, Terraform, and DevOps automation
* API platforms, integrations, gateways, and microservices
* Backend systems using Node.js, Python, and NestJS
* High-performance frontend systems using React and TypeScript
* CI/CD pipelines, observability, scaling, and reliability engineering
I’ve worked on systems involving:
* AI-assisted operational tooling
* Real-time analytics and monitoring platforms
* Video analytics and streaming infrastructure
* Enterprise investigation and workflow systems
* Cloud cost optimization and infrastructure automation
* Multi-tenant SaaS platforms
* Large-scale API and event-driven architectures
Technologies and platforms I commonly work with:
Azure, AWS, GCP, Kubernetes, Terraform, Docker, Cloudflare, Keycloak, Envoy, API Gateway platforms, PostgreSQL, Redis, Kafka, RabbitMQ, React, Node.js, Python, OpenAI, Claude, and modern AI/LLM tooling.
I’m comfortable working inside existing production systems, understanding complex architectures quickly, and solving technical problems across infrastructure, backend, integrations, and platform layers.
Certifications:
* Microsoft Azure Solutions Architect Expert
* Google Cloud Architect
* HashiCorp Terraform Associate
I typically work with startups, product companies, and enterprise teams looking for:
* long-term technical partnerships
* platform architecture leadership
* AI and cloud modernization
* DevOps and infrastructure engineering
* scalable product development
If you need someone who can move from architecture discussions to production implementation without heavy hand-holding, feel free to reach out.
Steps for completing your project
After purchasing the project, send requirements so Mohamed Fazaary can start the project.
Delivery time starts when Mohamed Fazaary receives requirements from you.
Mohamed Fazaary works on your project following the steps below.
Revisions may occur after the delivery date.
Infrastructure & Requirements Review
Review current architecture, infrastructure, workflows, and technical goals.
System Analysis & Planning
Identify bottlenecks, scaling concerns, optimization opportunities, and architecture improvements.