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MubashirShafique/README.md

Muhammad Mubashir Shafique - AI/ML Engineer

About Me

  • AI/ML Engineer building end-to-end AI systems — from multi-agent LLM apps to deployed deep learning pipelines
  • Hands-on with Machine learning , Deep learning,Gen AI , AI Agents, RAG, and Computer Vision
  • BS in Computer Science (5th Semester) — Sukkur IBA University, Sindh, Pakistan
  • Experienced in shipping projects via Langchain , Langgraph,Langsmith ,FastAPI, Flutter, and MLOps (DVC)
  • 📄 View My Resume
  • Reach me at: muhammadmubashirshafique@gmail.com

🔗 Connect With Me

Tech Stack

GitHub Activity

Currently Exploring

  • Multi-agent AI systems and Retrieval-Augmented Generation (RAG)
  • On-device deep learning for offline mobile AI
  • Production-ready ML pipelines and MLOps best practices

⭐ I don't program machines to follow instructions. I teach them how to think ⭐

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    Collection of verified Google Career Certificates covering Data Science foundations, Generative AI/prompt engineering, and Advanced Analytics showcasing formal validation of applied ML and analytic…

  2. KapasAI KapasAI Public

    An AI-powered cotton farming ecosystem combining offline deep learning, multi-agent AI, RAG, and mobile applications for intelligent crop disease detection and farming assistance.

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  3. gold-market-ai-agent_ gold-market-ai-agent_ Public

    An AI-powered Gold Market Analysis Agent that combines Machine Learning predictions, historical market analysis, and real-time web data to deliver intelligent BUY/SELL recommendations through a Lan…

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  4. Mijaaz-App-Showcase Mijaaz-App-Showcase Public

    AI-powered offline music recommendation app built with Flutter and TensorFlow Lite. Uses a custom-trained ANN model to recommend Pakistani & Indian songs based on user mood and energy while ensurin…

  5. Gold-Trend-Predictor-AI-Project_ Gold-Trend-Predictor-AI-Project_ Public

    An end-to-end AI-powered Gold Market Trend Prediction system that leverages Machine Learning, DVC pipelines, FastAPI, and Flutter to forecast bullish/bearish market trends. The project features aut…

    Python