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Hi, I'm Muhammad Samar Shehzad πŸ‘‹

Machine Learning Engineer β€’ LLM & Agentic AI Developer
Portfolio β€’ LinkedIn β€’ Email


πŸš€ About Me

I'm a Machine Learning Engineer with expertise in LLMs, agentic AI, NLP, and Deep Learning.
I specialize in building end-to-end intelligent systems using LangChain, Google ADK, TensorFlow, and FastAPI.

  • 🧠 Focus: LLM Agents, RAG Systems, Predictive Modeling
  • 🌱 Exploring: Multi-Agent Architectures & MLOps
  • πŸŽ“ BSCS (CGPA 3.87) β€” Arid Agriculture University

πŸ† Featured Projects

Intelligent assistant answering queries from Quran, Hadith, and Fatwa.
Stack: Google ADK, LangChain, FastAPI, Streamlit, Docker.

CNN-based model with 99.15% accuracy for medical image classification.

Data analysis and visualization of injuries and deaths during the conflict.


🧩 Tech Stack

Languages: Python, SQL
ML/DL: TensorFlow, Keras, Scikit-learn
LLM Tools: LangChain, LangGraph, Google ADK Deployment: FastAPI, Streamlit, Docker
Data Viz: Matplotlib, Seaborn, Plotly


🎯 Goals

  • Build scalable LLM-powered agents for real-world impact.
  • Contribute to open-source AI projects.
  • Explore advanced MLOps workflows.

✨ β€œTurning data into intelligent solutions.” ✨

Pinned Loading

  1. Diabetes-Prediction Diabetes-Prediction Public

    Diabetes Prediction using Machine Learning

    Jupyter Notebook

  2. Email_Classification Email_Classification Public

    Spam Email Classification

    HTML

  3. Heart-Disease-Prediction Heart-Disease-Prediction Public

    Heart Disease Prediction using Machine Learning

    Jupyter Notebook

  4. Skin-Cancer-Classification Skin-Cancer-Classification Public

    Skin Cancer Classification using Transfer Learning

    Jupyter Notebook

  5. PalestineIsrael-InjuriesAndDeaths PalestineIsrael-InjuriesAndDeaths Public

    Palestine-Israel Conflict Dashboard

    Jupyter Notebook