
2
2
Pakistan
2+ years of experience
I’m Muhammad Zain Attiq, an Agentic AI Engineer and Full Stack Developer from Pakistan, passionate about building scalable, cloud-native Agentic AI applications using modern frameworks and best cloud-first practices. Over the past few years, I’ve worked on 50+ Agentic AI applications — from intelligent chatbots and copilots to Agentic System and workflow automations — leveraging the latest in LLMs, RAG, and AI agent frameworks. My expertise lies at the intersection of Agentic AI + Cloud + Full Stack, where I design and deliver scalable, state-of-the-art, production-ready AI systems. 1️⃣ Tech Stack Programming Languages Python | TypeScript | JavaScript Backend FastAPI | Flask | Node.js | PostgreSQL | MySQL | MongoDB | Neo4j | Pinecone Agentic AI AI Agents | Chatbots | LLMs | RAG | LangChain | LangGraph | CrewAI | OpenAI Agents SDK | MCP | n8n | Zapier | Make.com | Vector Databases | Graph Databases Cloud & DevOps Docker | Docker Compose | Rancher | Kubernetes | AWS | Google Cloud | Azure Machine Learning Scikit-learn | Pandas | NumPy | Matplotlib | Seaborn | Plotly | NLTK Deep Learning TensorFlow | Keras | PyTorch Version Control & CI/CD Git | GitHub | CI/CD Pipelines 2️⃣ Education Cloud Applied Agentic AI Engineering – PIAIC Bachelor's in Computer Science – Virtual University of Pakistan Advanced AI – XevenSkills Custom AI Assistant Development – Vanderbilt University

The Problem with Generic AI ChatGPT suggests React 16 code when you're using React 19. Claude recommends deprecated PyTorch APIs. Generic AI assistants fall behind because they're trained on outdated data, forcing developers to manually verify every suggestion. This wastes hours and introduces bugs. CodeSync: Specialized Agents That Never Fall Behind Build custom AI agents trained exclusively on the latest official documentation from any framework or library. Unlike generic AI that tries to know everything, each CodeSync agent is an expert in one domain—always accurate, always current. How It Works Point CodeSync at any GitHub repository with documentation. Our RAG pipeline powered by Qdrant vector search and Gemini AI creates a specialized agent in minutes. When the framework updates, your agent updates automatically. Zero manual work. Game-Changing MCP Integration Every agent comes with an MCP (Model Context Protocol) server endpoint. This means one-click integration with Claude Desktop, Cursor, VS Code, ChatGPT, Windsurf, and 15+ other coding tools. Use your specialized agents wherever you code—no platform lock-in. Create Agents for Anything React • Vue • Angular • Next.js • PyTorch • TensorFlow • LangChain • FastAPI • Docker • Kubernetes • Custom Libraries • Internal Docs Perfect for frontend developers, ML engineers, DevOps teams, and anyone who values accurate, current code assistance over guesswork. Key Benefits ✓ Always up-to-date with latest releases ✓ Lightning-fast semantic search ✓ Framework-specific best practices ✓ Works in any IDE via MCP servers ✓ Create agents for internal libraries Stop debugging deprecated code. Start building with confidence. Create your first specialized agent in 5 minutes—no credit card required.
19 Nov 2025

Problem Statement: Weather often disturbs daily plans, events, and travel. Many People and organizations donot have any easy way to get real-time, personalized weather guidance. Solution: ClimeAI solves this Problem and Provide an AI powered weather assistant that combines real-time weather data with smart advice for event planning, travel guidance, and safety decisions. It understands the user queries and keep the context through chat memory, deliver recommendations such as best travel times, event safety plans, and packing suggestions. Technology Stack: The platform built using FastAPI (Python), LangGraph, MongoDB, and Docker, with APIs including OpenWeatherMap, OpenCageData, AIML API, Mistral API Key, and Eleven Labs for smart intelligence, orchestration, and natural voice. Value: ClimeAI help users and businesses to make smarter, safer, and faster weather-aware decisions, save time, reduce risks, and improving their planning efficiency.
21 Sep 2025