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5.0

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Project details

I will design and implement a fully customized Airtable CRM tailored to your business processes, enhanced with AI-powered features like lead scoring, sentiment analysis, and automated updates. This solution will centralize your customer data, streamline workflows, and reduce manual tasks, enabling you to focus on building relationships and closing deals.

The CRM will feature scalable architecture, intuitive dashboards, and real-time reporting. It can be integrated with tools like Zapier or Make for seamless synchronization with marketing, sales, and communication platforms. From a simple CRM setup to a full AI-enabled ecosystem, this solution adapts to your needs and grows with your business.

Key Features:

Custom Airtable base design aligned with your workflow

AI-driven insights and automation

External tool integration (Zapier, Make, APIs)

Real-time analytics and performance tracking

User training with detailed documentation

With this setup, you’ll have a powerful, intelligent, and easy-to-use CRM that boosts productivity and improves customer engagement.
Database Type
MySQL, SQLite, PostgreSQL, MongoDB
What's included
Service Tiers Starter
$180
Standard
$350
Advanced
$550
Delivery Time 3 days 5 days 7 days
Number of Revisions
234
Number of Tables Added
358
Schema Diagram
Permissions Setup
-
Import/Export Data
Admin Panel Setup
-
5.0
3 reviews
100% Complete
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Syed Hassan U.Status: Offline

About Syed Hassan

Syed Hassan U.Status: Offline
AI Systems Engineer | LLM Applications | Backend Development
87% Job Success
5.0  (3 reviews)
Karachi, Pakistan - 11:58 am local time
I build AI powered software systems, backend infrastructure and intelligent applications that operate reliably at production scale.

My expertise lies at the intersection of AI Engineering, Backend Development, Distributed Systems and Workflow Automation. I specialize in designing and implementing the infrastructure that enables AI products to function in real world business environments.

Rather than building isolated AI demos, I develop complete systems that combine LLMs, APIs, databases, vector search, workflow orchestration and cloud infrastructure into scalable applications.

Core Areas of Expertise

âś… AI Engineering & LLM Applications
• OpenAI, Claude, Gemini, Llama, Mistral
• AI Agents & Multi-Agent Systems
• LangChain, LangGraph, CrewAI, AutoGen
• Prompt Engineering
• Function Calling & Tool Use
• Structured Outputs
• AI Workflow Orchestration

âś… Retrieval Augmented Generation (RAG)
• Knowledge Base Architecture
• Semantic Search Systems
• Vector Databases
• Embedding Pipelines
• Document Processing
• Hybrid Search
• Context Retrieval Optimization

âś… Backend Engineering
• Python
• FastAPI
• REST APIs
• Webhooks
• Authentication & Authorization
• Microservices Architecture
• Background Processing
• Event-Driven Systems
• API Gateway Integrations

âś… Database & Data Infrastructure
• PostgreSQL
• Supabase
• pgvector
• Pinecone
• Qdrant
• Data Modeling
• Query Optimization
• Data Pipelines
• ETL Workflows

âś… AI Infrastructure & Automation
• n8n
• Workflow Orchestration
• CRM Integrations
• Event Processing
• Queue-Based Systems
• Business Process Automation
• Observability & Monitoring

Recent systems I have developed include:
• Enterprise RAG platforms with semantic search and vector retrieval
• AI-powered knowledge assistants connected to internal company documentation
• AI voice receptionists handling inbound customer conversations
• Multi-channel AI agents for WhatsApp, Instagram, and web platforms
• Automated analytics and reporting infrastructures
• CRM-integrated onboarding and communication systems
• AI-driven social engagement and moderation platforms
• Internal operations dashboards and workflow management systems
• Automated document processing and embedding pipelines
• Large-scale business automation ecosystems using n8n and custom APIs

Technology Stack
Python • FastAPI • PostgreSQL • Supabase • OpenAI • Claude • LangChain • LangGraph • AutoGen • CrewAI • n8n • React • TypeScript • Docker • Webhooks • REST APIs • Vector Databases • pgvector • Pinecone • Qdrant • Git • Cloud Infrastructure

If you're looking for someone who can architect and build the backend systems, AI infrastructure, APIs, retrieval pipelines, and intelligent workflows that power modern AI products, I can help take your idea from concept to production.

Steps for completing your project

After purchasing the project, send requirements so Syed Hassan can start the project.

Delivery time starts when Syed Hassan receives requirements from you.

Syed Hassan works on your project following the steps below.

Revisions may occur after the delivery date.

Initial Consultation & Requirements Gathering

Understand your business goals, workflows, and current CRM/data structure. Identify required fields, reports, and AI functionalities (e.g., lead scoring, sentiment analysis).

Airtable Base Design & Architecture

Create a scalable Airtable schema with tables, relationships, and custom views. Ensure proper field types, formulas, and automation rules are in place.

Review the work, release payment, and leave feedback to Syed Hassan.