Freelance AI Agent Orchestrators in Karachi

Freelance AI Agent Orchestrators in KarachiFreelance AI Agent Orchestrators in Karachi

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Karachi, Pakistan

AI Agent Developer | Web App Builder | Automation Specialist

New to Contra

AI Agent Developer | Web App Builder | Automation Specialist

Cover image for Teaching-Agent is an AI-powered educational

Teaching-Agent is an AI-powered educational

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Cover image for 🚀 Built Twin-Company-Agent — An

🚀 Built Twin-Company-Agent — An

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Cover image for 🚀 Built a Personalized AI

🚀 Built a Personalized AI

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Cover image for FastAPI Business Web Application
Built a

FastAPI Business Web Application Built a

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AI Agent Orchestrator(3)

Karachi, Pakistan

I build AI Agents & automations for your business

New to Contra

I build AI Agents & automations for your business

Cover image for Built a Multi-Agent Newsletter Automation

Built a Multi-Agent Newsletter Automation in n8n! Fully automated pipeline: Research → Writing → Gmail Draft — zero manual effort. Topic: "AI Adoption for Small Businesses" How it works: ✅ Weekly trigger auto-starts the workflow ✅ Tavily API finds 3 trending news pieces ✅ Agent 1 (Planner) creates edition title + 3 sub-topics ✅ Tavily digs 5 deep sources per topic ✅ Agent 2 (Writer) writes 350–500 word sections in Markdown ✅ Agent 3 (Editor) converts to responsive HTML + adds intro & sources ✅ Gmail Draft created — ready for human review & send Stack: n8n + Gemini + Tavily API + Gmail #n8n #AIAutomation #MultiAgent #NoCode #Gemini #Newsletter #WorkflowAutomation #AI

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Cover image for Built an AI-Native Online Textbook

Built an AI-Native Online Textbook — "Physical AI & Humanoid Robots" I built a fully technical textbook from scratch using Spec-Driven Development with Claude Code. ✅ Written & deployed using Docusaurus + GitHub Pages ✅ Covers ROS 2, Gazebo, NVIDIA Isaac & Voice-Language-Action (VLA) ✅ Embedded RAG Chatbot — ask questions directly from the book content ✅ Built with OpenAI Agents SDK + FastAPI + Neon DB + Qdrant Cloud The rule? No manual writing. Write the spec → Claude Code generates the content. Refine until it's right. The future of AI isn't just digital — it's physical. Robots that see, hear, plan, and act. 🤖 #PhysicalAI #HumanoidRobotics #ClaudeCode #SpecDrivenDevelopment #RAG #OpenAI #Docusaurus #AI #Hackathon

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Cover image for
Built "The Evolution of Todo"

Built "The Evolution of Todo" from a simple script to a full AI-powered, cloud-native system using Spec-Driven Development with Claude Code. ✅ Phase I – Started with a Python In-Memory Console App ✅ Phase II – Built a Full-Stack Web App (Next.js + FastAPI + Neon DB + Better Auth) ✅ Phase III – Added an AI Chatbot (OpenAI Agents SDK + MCP Server) it can add, delete, update & edit tasks through simple prompts and understands natural language ✅ Phase IV – Deployed locally on Kubernetes (Minikube + Helm Charts) The rule? No manual code. Write the spec → Claude Code generates the implementation → Refine until it's right. #ClaudeCode #SpecDrivenDevelopment #Kubernetes #AI #Hackathon #OpenAI #CloudNative

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Cover image for I built 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 using

I built 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 using 𝗻𝟴𝗻. I used the Tavily API for web search (you can also try the Wikipedia API or any other source you like). The agent automatically finds: Company name Problem faced AI agent solution Results achieved Gives Source link as well My query: “𝘚𝘦𝘢𝘳𝘤𝘩 𝘳𝘦𝘢𝘭 𝘗𝘢𝘬𝘪𝘴𝘵𝘢𝘯𝘪 𝘤𝘰𝘮𝘱𝘢𝘯𝘪𝘦𝘴 𝘵𝘩𝘢𝘵 𝘧𝘢𝘤𝘦𝘥 𝘣𝘶𝘴𝘪𝘯𝘦𝘴𝘴 𝘱𝘳𝘰𝘣𝘭𝘦𝘮𝘴 𝘢𝘯𝘥 𝘶𝘴𝘦𝘥 𝘈𝘐 𝘵𝘰 𝘴𝘰𝘭𝘷𝘦 𝘵𝘩𝘦𝘮.” The agent found 𝗟𝘂𝗹𝘂𝘀𝗮𝗿,a Pakistani clothing brand that used an AI-powered analytics solution called 𝗗𝗮𝘁𝗮 𝗽𝗶𝗹𝗼𝘁(a step toward agentic automation) to transform its marketing and business performance. After that, I automated the process to draft all the data into an email — but you can easily send it to Docs, PDF, or any other platform.

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AI Agent Orchestrator(1)

Muhammad Wahaj Khan

Karachi, Pakistan

Fullstack Engineer for Interactive Websites

Fullstack Engineer for Interactive Websites

Cover image for A business automation companion.

A business automation companion.

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Cover image for Building a Video Call Application with PeerJS and WebRTC

Building a Video Call Application with PeerJS and WebRTC

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Cover image for Elevating E-commerce with Sanity: A Modern Approach

Elevating E-commerce with Sanity: A Modern Approach

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AI Agent Orchestrator(1)

Moiz Ahmed Mansoori

Karachi, Pakistan

AI Assistants, RAG Chatbots & Business Workflow Automation

New to Contra

AI Assistants, RAG Chatbots & Business Workflow Automation

Cover image for Built AIRO, a 6-agent ML

Built AIRO, a 6-agent ML automation system using LangGraph and Groq LLaMA 3.3. The system automates the entire ML pipeline from data ingestion to final report generation. Ran 18 experiments achieving RandomForest f1_macro of 0.7329. Features parallel training, MLflow tracking, SHAP explainability, and a dark Streamlit UI with live log streaming.

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Cover image for Most people think generating a

Most people think generating a 3D model is the hard part. It isn't. The real challenge is generating something that's actually usable. That's why I built VoxelVia3D. Instead of producing random meshes, it turns a simple text prompt into a structured 3D asset that creators can immediately preview and download. What I focused on wasn't just AI generation. It was the complete product experience: • Clean web interface • Fast AI inference • Real-time generation progress • Downloadable 3D assets • Responsive, production-ready deployment The difference between a cool AI demo and a useful AI product isn't the model. It's everything around the model. That's the kind of AI software I enjoy building. 🌐 voxelvia3d.app (http://voxelvia3d.app)💼 contra.com/moiz_roshan_zszcum4s

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Cover image for I built an AI wellness

I built an AI wellness app that does more than generate responses. It listens, remembers context, and responds with emotional guardrails in place. https://asksukoon.com/ Most “AI wellness” tools today are just chat interfaces with a mental health label attached. AskSukoon was built differently. What’s inside: — Voice conversations with sentiment-aware responses — Memory-powered support using ChromaDB — Guardrails for sensitive interactions — Guided reflections and mood tracking — Fast, mobile-friendly experience built for real users The hardest part wasn’t connecting an LLM. It was designing something that feels calm, safe, and usable in production. Shipping this taught me more about product than 3 years of coursework Live: https://asksukoon.com/ Services: contra.com/moiz_roshan_zszcum4s

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Cover image for QueryMind lets you query a

QueryMind lets you query a real database using plain English. Type a question, get an answer — no SQL knowledge needed. Built a production-grade AI agent using LangGraph that converts natural language to SQL, executes it on a real PostgreSQL database with 100,000+ rows, and automatically corrects errors in a retry loop if the query fails. Key features: 7-node LangGraph agent with conditional routing and self-correction pgvector semantic search for intelligent schema retrieval Full observability dashboard with real-time metrics and query history Trace replay — see every step the agent took to answer your question Deployed live: Next.js frontend on Vercel, FastAPI backend on Render Tech: LangGraph · Groq LLaMA 3.3 70B · PostgreSQL · pgvector · FastAPI · Next.js · Tailwind CSS Github: https://github.com/moiz-mansoori/QueryMind-NL2SQL-Agent-System

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AI Agent Orchestrator(1)