You will get an NFT Marketplace on your preferred chain
Project details
Minting an NFT refers to the process of creating a non-fungible token on the blockchain for your specific asset.
Looking forward to working with you. Thank you.
Step 1. Users register an account on an NFT platform
Step 2. Setting a crypto wallet is required.
Step 3. Here comes the NFT creation process. For this purpose, users upload digital items to showcase their work.
Step 4. Users list items for sale. Here they have two options: choosing a bid for an auction or setting a fixed price.
Step 5. Items pass moderation.
Step 6. As soon as new NFTs are approved, potential buyers can see it in the list for sales.
Step 7. The tokens’ owner can start accepting bids.
Step 8. When the auction closes, sellers are notified about top bids.
Step 9. The NFT platform regulates the transfer of digital assets and funds.
What i provide :
Customizable Smart Contracts
ERC-721, OpenZeppelin Standard
Web UI interface for easy creation, management and collaboration
Automatically push to OpenSea, Rarible, and Cargo
Primary Commissions
Secondary Commissions (Opensea)
Multi-chain Support
Hosted on IPFS
Custom API Integration
Custom Development Support
Looking forward to working with you. Thank you.
Step 1. Users register an account on an NFT platform
Step 2. Setting a crypto wallet is required.
Step 3. Here comes the NFT creation process. For this purpose, users upload digital items to showcase their work.
Step 4. Users list items for sale. Here they have two options: choosing a bid for an auction or setting a fixed price.
Step 5. Items pass moderation.
Step 6. As soon as new NFTs are approved, potential buyers can see it in the list for sales.
Step 7. The tokens’ owner can start accepting bids.
Step 8. When the auction closes, sellers are notified about top bids.
Step 9. The NFT platform regulates the transfer of digital assets and funds.
What i provide :
Customizable Smart Contracts
ERC-721, OpenZeppelin Standard
Web UI interface for easy creation, management and collaboration
Automatically push to OpenSea, Rarible, and Cargo
Primary Commissions
Secondary Commissions (Opensea)
Multi-chain Support
Hosted on IPFS
Custom API Integration
Custom Development Support
Programming Languages
JavaScript, Ruby/Ruby on Rails, GoCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included $500
These options are included with the project scope.
$500
- Delivery Time 5 days
- Number of Revisions 2
- Number of Pages 5
- Design Customization
- Content Upload
- Responsive Design
Optional add-ons
You can add these on the next page.
Fast 3 Days Delivery
+$250
Source Code
(+ 1 Day)
+$400About Muhammad
Agentic AI Engineer | Voice Agents, RAG, MCP, N8N | LangChain, Claude
Gujranwala, Pakistan - 8:43 am local time
I design and build production-grade AI systems that reduce manual operations, improve response times, and create measurable business value. I specialize in turning complex workflows into reliable software—not building chatbot prototypes that stop working after the demo.
What I build
AI agents and multi-agent workflows.
RAG and enterprise knowledge assistants.
AI document extraction and structured data pipelines.
Voice AI and conversational systems.
WhatsApp, Slack, and Microsoft Teams automation.
MCP servers and tool-enabled AI applications.
AI-powered order, invoice, and workflow processing.
Computer-vision search and image-matching systems.
Custom AI SaaS platforms.
LLM evaluation, observability, and cost optimization.
Secure API integrations with CRMs, ERPs, and business software.
Selected experience
AI regulatory-documentation platform: Built an agentic platform for document extraction, template generation, data propagation, and human-in-the-loop validation using Google ADK, LiteLLM, AWS, and multi-agent orchestration.
Financial-document intelligence: Developed a Claude-powered pipeline for processing long financial documents, extracting governed structured data, and generating defensible outputs. The system included evaluation datasets and edge-case testing.
Enterprise knowledge assistant and visual search: Built an Azure OpenAI assistant that retrieves information from emails, support tickets, and legacy ERP data. Also developed a reverse-image-search system for jewelry B2B commerce.
AI order processing: Created a system that parsed purchase orders across more than 25,000 SKUs and reduced processing time from approximately 30 minutes to under one minute. The solution also provided conversational access to orders, invoices, inventory, and support cases.
Voice AI and WhatsApp automation: Built voice and WhatsApp workflows for reservations and event inquiries across a multi-location hospitality business.
AI lead-discovery platform: Developed an AI agent that monitors public sources for construction opportunities, filters relevant leads, prevents duplicates, and delivers updates to Microsoft Teams.
Healthcare AI assistant: Built a voice, chat, OCR, and knowledge-based assistant for test discovery, appointment booking, prescription parsing, and report-related workflows.
Immigration case-processing SaaS: Developed a multi-tenant platform for case management, OCR document extraction, petition-drafting assistance, and billing integrations.
Technology stack
AI and agents: OpenAI, Claude, Gemini, AWS Bedrock, LangChain, LangGraph, LlamaIndex, Pydantic AI, Google ADK, LiteLLM, and MCP.
Voice AI: Retell AI, ElevenLabs, Whisper, OpenAI Realtime API, and custom voice-agent systems.
RAG and document intelligence: Pinecone, Weaviate, Qdrant, ChromaDB, PDF parsing, OCR, structured extraction, and ERP-connected knowledge systems.
Backend and frontend: Python, FastAPI, Django, PostgreSQL, Redis, React, Next.js, Docker, and REST APIs.
Cloud and integrations: AWS, Azure, Google Cloud, HubSpot, Salesforce, NetSuite, Oracle, QuickBooks, Stripe, Slack, Microsoft Teams, Zapier, Make, WhatsApp, and custom APIs.
Observability and evaluation: LangSmith, Logfire, Arize Phoenix, tracing, evaluation datasets, regression testing, and token-cost monitoring.
How I work
Analyze the existing workflow and identify where time, revenue, or accuracy is being lost.
Define measurable success criteria before development begins.
Design the architecture, integrations, security boundaries, and human-review process.
Build an initial working version for early validation.
Add testing, evaluation, monitoring, fallbacks, and production safeguards.
Deploy the system and provide documentation and handover support.
I provide clear milestones, defined deliverables, transparent communication, and end-to-end ownership from architecture through production deployment.
Good fit
I am a strong fit if:
You need more than a basic chatbot.
Your project involves documents, business data, APIs, CRMs, ERPs, or internal tools.
You want AI connected to real operational workflows.
You value reliability, security, testing, and measurable outcomes.
You have a clear decision-maker and an appropriate development budget.
I may not be the right fit if the lowest price is your primary selection criterion or you expect a complex production system without discovery, testing, and iteration.
If your team is spending significant time on repetitive document processing, research, support, communication, or data-entry work, send me your current workflow. I can help identify what should be automated, what should remain human-reviewed, and how to build a reliable system around it.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Project development && Delivery