AI Agent Development Projects in KarachiAI Agent Development Projects in KarachiMost websites look good. Very few make you want to keep scrolling.
That was the idea behind Strata. I wanted to build something focused on clean visuals, subtle interactions, and the small details that make a site feel genuinely polished not another template with flashy animations bolted on.
No unnecessary motion. No trying to make everything stand out. Just a lot of time spent getting the layout, typography, interactions, and overall flow to feel intentional.
It's live now, and I'd love to build more websites like this.
If you're working on a startup, product, personal brand, or portfolio and want a site that doesn't feel template, I'm currently open to a few web projects send me a message.
Live site: https://strata-sh.netlify.app/ Built a complete 10-module AI SaaS platform
for Amazon sellers from scratch. Features
include PPC analyzer, profit calculator,
inventory alerts, competitor tracker, and
AI listing optimizer powered by Claude API.
457 daily organic visitors with zero paid ads.
Live in production at selzara.com (http://selzara.com)
Stack: Python, FastAPI, Claude API, Supabase,
React, Tailwind, Nginx, Ubuntu VPS Most property websites only collect a name and phone number. For Zameendar Enterprises, I built an AI property assistant connected to the owner’s WhatsApp Business number and embedded on the company website.
Buyers, investors, and sellers can discuss their requirements in English or Roman Urdu through either channel. The assistant remembers context, collects details such as budget, location, property type, and payment preference, then suggests relevant properties using the company’s listings and uploaded documents.
This helps the business qualify leads through WhatsApp, where many customers already prefer to communicate, while keeping the website useful as another sales channel. A secure admin dashboard lets the team review conversations, manage leads, add notes, upload documents, test AI responses, and inspect system logs.
I built the platform with Next.js, React, TypeScript, PostgreSQL, LangGraph, OpenAI, pgvector, Tailwind CSS, and Auth.js, combining WhatsApp automation, conversational AI, property search, and lead management in one business system. AI Customer Support Agent with Knowledge Base
Businesses lose valuable time answering repetitive customer questions. I built an AI-powered customer support agent that provides instant, accurate responses by searching company documentation instead of relying solely on a language model.
The assistant uses Retrieval-Augmented Generation (RAG) to retrieve relevant information from PDFs, FAQs, user manuals, and internal knowledge bases before generating responses. Every answer includes source citations, allowing users to verify the information with confidence.
Key Features
✅ AI-powered customer support
✅ Knowledge Base & PDF ingestion
✅ RAG-based semantic search
✅ Conversation memory
✅ Source citations for every response
✅ Enterprise admin dashboard
✅ Responsive web interface for desktop and mobile
Tech Stack
Python
Django
OpenAI
LangGraph
PostgreSQL
RAG (Retrieval-Augmented Generation)
Business Impact
• Reduced repetitive support requests by providing instant AI responses
• Improved customer experience with 24/7 availability
• Increased trust through citation-backed answers
• Centralized company knowledge into a searchable AI assistant
• Scalable architecture for enterprise support teams
Building AI applications isn't just about integrating an LLM—it's about designing reliable systems that deliver accurate, explainable, and production-ready results.
If you're looking to build an AI-powered customer support platform, internal knowledge assistant, or enterprise RAG application, I'd be happy to discuss your project.
#AI #OpenAI #Python #Django #LangGraph #RAG #ArtificialIntelligence #CustomerSupport #KnowledgeBase #SaaS #MachineLearning #EnterpriseAI #Automation #SoftwareDevelopment #Contra #Freelancer Enterprise AI Agent & Workflow Automation Platform
Overview
Designed and developed an AI-powered automation platform that helps businesses streamline operations through intelligent agents, workflow automation, and AI-driven decision-making. The solution enables teams to automate repetitive tasks, process large volumes of data, retrieve knowledge from documents, and integrate AI directly into business workflows.
What I Built
Custom AI agents powered by OpenAI and LLM technologies
Workflow automation systems for business operations
RAG (Retrieval-Augmented Generation) pipelines
Document intelligence and knowledge retrieval
AI-powered reporting and data processing
API integrations with third-party business tools
Agent monitoring and execution dashboards
Scalable backend architecture for AI services
Key Features
✓ Autonomous AI Agents
✓ Business Process Automation
✓ Document Q&A Systems
✓ Knowledge Base Search
✓ Multi-Step Workflow Execution
✓ Vector Database Integration
✓ Analytics & Monitoring
✓ Secure API Integrations
Technologies Used
OpenAI, LangChain, Python, FastAPI, Pinecone, ChromaDB, PostgreSQL, React.js, Next.js, TypeScript, REST APIs
Results
Reduced manual workload through automation
Improved operational efficiency
Faster access to business knowledge
Streamlined internal workflows
Enhanced decision-making with AI-powered insights
Services Demonstrated
AI Agent Development • RAG Systems • Workflow Automation • OpenAI Integration • Enterprise AI Solutions • Custom AI Applications
Project Link
https://beam.ai/ 
