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Engrziaullah/README.md

Zia Ullah Banner

Zia Ullah

AI Engineer • Machine Learning • Generative & Agentic AI

Software Engineering Undergraduate — University of Malakand, Pakistan 🇵🇰

🧠 About Me

I’m Zia Ullah, an AI Engineer focused on building real, deployable intelligent systems — not toy notebooks.

My work spans the entire AI lifecycle:

  • Data preprocessing & feature engineering
  • ML / DL model development
  • Generative AI & LLM-based systems
  • Agentic AI (reasoning, tools, workflows)
  • APIs, dashboards, and deployment

Belief:
AI is engineering discipline + systems thinking — not hype.

🎯 Core Focus Areas

  • 🤖 Machine Learning & Deep Learning
  • 🧠 Generative AI (LLMs, RAG, GANs)
  • 🕸️ Agentic AI (LangChain, LangGraph, LangSmith, n8n)
  • 📚 NLP & Information Retrieval
  • 👁️ Computer Vision (YOLO, OpenCV)
  • 🌐 AI-Powered Web Applications

🛠️ Skills & Technologies

💻 Programming Languages

📊 Data Science, ML & DL

  • Pandas · NumPy
  • Scikit-learn
  • TensorFlow · Keras · PyTorch
  • Matplotlib · Seaborn · Plotly
  • Model evaluation & optimization

🧬 Generative AI & Agentic AI

  • LangChain (LLM pipelines, tools)
  • LangGraph (graph-based agent workflows)
  • RAG (Vector DB + LLM reasoning)
  • LangSmith (tracing, evaluation)
  • Prompt engineering & structured outputs
  • Multi-agent systems

🌐 Backend, Databases & Deployment

  • Flask & FastAPI (APIs)
  • Streamlit (AI dashboards)
  • PostgreSQL · MySQL
  • Git & GitHub
  • Cloud & deployment fundamentals

🌍 Additional Knowledge

  • Networking fundamentals
  • IoT systems
  • Jupyter Notebook

🚀 Selected Projects

  • 🟢 AI-Powered General Health Query Chatbot
  • 🟢 Credit Card Fraud Detection System
  • 🟢 Twitter Sentiment Analysis Platform
  • 🟢 Industrial Equipment Failure Prediction
  • 🟢 Data Analysis & Visualization Web App

Built with real datasets, clean pipelines, and deployment-first mindset.

📊 GitHub Analytics (STABLE)

🌐 Connect With Me

🧭 Final Statement

I build AI systems that work in production, not just demos.

If you’re a recruiter, researcher, or startup working on serious AI —
📩 Let’s connect.

Pinned Loading

  1. nlp-complete-guide nlp-complete-guide Public

    🚀 A complete guide to Natural Language Processing (NLP) — from beginner to pro. Includes detailed theory, hands-on Python code, real-world projects, and step-by-step explanations.

    Jupyter Notebook 1

  2. AI-Powered-Healthcare-Assistant AI-Powered-Healthcare-Assistant Public

    MediBot is a domain-specific AI assistant focused exclusively on medical and health-related inquiries. Built with a Flask backend and a responsive frontend, it features strict content guardrails to…

    Python

  3. Data-preprocessing- Data-preprocessing- Public

    A toolkit for efficient data preprocessing—clean, transform, and prepare raw data for analysis and machine learning. Handles missing values, outliers, encoding, and scaling. Perfect for data scient…

    Jupyter Notebook

  4. Deep-learning-complete-guide Deep-learning-complete-guide Public

    📘 A complete Deep Learning roadmap with theory & hands-on projects using ANN, CNN, RNN, Transformers, and Transfer Learning.

    Jupyter Notebook

  5. Multi-Label-Emotion-Recognition-from-Text Multi-Label-Emotion-Recognition-from-Text Public

    NLP project using SenticNet lexicon and TF-IDF for emotion classification (Joy, Sadness, Anger, etc.). Implements BRkNNa/BRkNNb classifiers with negation handling, 10-fold validation, and metrics l…

    Jupyter Notebook

  6. Twitter-Sentiment-Analysis-App Twitter-Sentiment-Analysis-App Public

    A Streamlit-based Twitter Sentiment Analysis App that classifies text as Positive, Negative, or Neutral using NLTK's VADER. Features a user-friendly UI, sidebar navigation, and custom styling. 🚀

    Python