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You will get AI Automation & SaaS Developer | AI Agents | n8n | Make | Python

Muizz K.Status: Offline
Muizz K. Muizz K.
5.0
Preview imagePreview image

Let a pro handle the details

Buy Web Application Programming services from Muizz, priced and ready to go.
Muizz K.Status: Offline
Muizz K. Muizz K.
5.0
Preview imagePreview image

Let a pro handle the details

Buy Web Application Programming services from Muizz, priced and ready to go.

Project details

✔ Custom AI SaaS Application Development
✔ AI Chatbots & Virtual Assistants
✔ AI Voice Agents & Call Automation
✔ OpenAI, Claude & Gemini Integration
✔ Custom GPT & LLM-Powered Applications
✔ RAG (Retrieval-Augmented Generation) Solutions
✔ AI Workflow & Business Process Automation
✔ Multi-Tenant SaaS Architecture
✔ User Authentication & Role Management
✔ Stripe & Subscription Payment Integration
✔ REST API Development & Third-Party Integrations
✔ Admin Dashboards & Analytics
✔ Cloud Deployment (AWS, Azure, GCP, Vercel)
✔ Scalable, Secure & Production-Ready Architecture
✔ Clean, Maintainable & Well-Documented Code
✔ Testing, Deployment & Post-Launch Support
Programming Languages
HTML & CSS, Java, TypeScript
Coding Expertise
Cross Browser & Device Compatibility, PSD to HTML, Performance Optimization
What's included
Service Tiers Starter
$200
Standard
$500
Advanced
$1,500
Delivery Time 7 days 14 days 21 days
Number of Revisions
57Unlimited
Number of Pages
51015
Design Customization
Content Upload
Responsive Design
Source Code
5.0
2 reviews
100% Complete
(2)
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)
1% Complete
(0)

LR

Lucas R.
5.00
Jul 21, 2026
AI Engineer to Deploy a Generative AI FastAPI Backend on AWS He did an excellent job deploying our Generative AI FastAPI backend on AWS. He handled the Docker setup, AWS configuration, security, and deployment smoothly, communicated clearly, and delivered everything on time. I highly recommend him for FastAPI, AWS, Docker, and AI backend deployment projects.

FI

Fozia I.
5.00
Jul 14, 2026
Computer Vision Engineer Needed to Train a YOLO Model Muizz delivered an excellent YOLOv8 Computer Vision solution with accurate model training, annotation validation, and clear documentation. Great communication, strong PyTorch expertise, and on-time delivery. I highly recommend him for any Object Detection or AI project.
Muizz K.Status: Offline

About Muizz

Muizz K.Status: Offline
AI Automation Engineer, Document Processing Workflows, Azure Certified
100% Job Success
5.0  (2 reviews)
Karachi, Pakistan - 12:55 am local time
I build and deploy Python-based AI automation systems for document-heavy business workflows, including email processing, document classification, structured data extraction, internal RAG, and API integrations.

🚀 Production AI Automation Experience

One example is Smart Inbox, a production system that monitors a corporate Exchange mailbox and identifies nine types of import documents.

It processes PDFs, scans, Word files, spreadsheets, CSVs, and images, extracts the required information, and automatically updates a tracking workbook with 60+ columns.

I built the workflow with:

OCR and vision fallback
Data validation
Retry and reconnection handling
Business-rule processing
Windows service deployment
Reliable background execution

The goal was not to create another document-processing demo, but to build a reliable automation system capable of handling real operational files and edge cases.

⭐ Proven Upwork Results

I have also completed two 5-star Upwork projects:

Generative AI FastAPI Backend — deployed on AWS using Docker
YOLOv8 Object Detection System — model training, validation, optimization, and technical documentation

🛠️ I Can Help With
PDF & document classification
OCR & structured data extraction
Email → Excel / ERP / Database / API automation
Private RAG assistants for internal documents
Python & FastAPI backend development
Docker & AWS deployment
Validation, retries, logging & background workers

🤖 Other Relevant AI Work

My other projects include:

Oracle EBS Email Automation Agent
AI Ticket-Triage Workflow
Private Multi-PDF RAG Assistant

🔍 How I Approach Projects

I start by reviewing representative files, the required output, and where the extracted data needs to go.

This helps identify format variations, missing fields, integration requirements, and potential failure cases before development begins—which usually results in a more reliable system and fewer surprises later.

📩 Send me a few sample documents or a description of your current workflow. I can review the requirements and suggest a practical first milestone.

Steps for completing your project

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

Delivery time starts when Muizz receives requirements from you.

Muizz works on your project following the steps below.

Revisions may occur after the delivery date.

Project Discovery

Understand your business goals, requirements, and target users.

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