I am an AI Engineer with a strong foundation in machine learning, deep learning, and NLP. I specialize in building end-to-end AI-driven solutions from data preprocessing to deployment across education, healthcare, and automation domains. Skilled in Python, Flask, TensorFlow, and Neo4j, I have a proven track record of delivering production-ready projects that solve real-world problems. I have developed a range of AI tools and applications including chatbots for educational and service interactions, AI-powered curriculum design tools, real-time pan-tilt face tracking systems, and CNN-based medical image classification models. I am passionate about leveraging AI technologies to innovate and improve user experiences in various sectors.…

Hammad Ali

I am an AI Engineer with a strong foundation in machine learning, deep learning, and NLP. I specialize in building end-to-end AI-driven solutions from data preprocessing to deployment across education, healthcare, and automation domains. Skilled in Python, Flask, TensorFlow, and Neo4j, I have a proven track record of delivering production-ready projects that solve real-world problems. I have developed a range of AI tools and applications including chatbots for educational and service interactions, AI-powered curriculum design tools, real-time pan-tilt face tracking systems, and CNN-based medical image classification models. I am passionate about leveraging AI technologies to innovate and improve user experiences in various sectors.…

Available to hire

I am an AI Engineer with a strong foundation in machine learning, deep learning, and NLP. I specialize in building end-to-end AI-driven solutions from data preprocessing to deployment across education, healthcare, and automation domains. Skilled in Python, Flask, TensorFlow, and Neo4j, I have a proven track record of delivering production-ready projects that solve real-world problems.

I have developed a range of AI tools and applications including chatbots for educational and service interactions, AI-powered curriculum design tools, real-time pan-tilt face tracking systems, and CNN-based medical image classification models. I am passionate about leveraging AI technologies to innovate and improve user experiences in various sectors.

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Work Experience

AI Engineer
January 1, 2025 - August 21, 2025
Developed a conversational chatbot using AIML for educational and service-based interactions, integrated with Flask and Neo4j. Built AI-powered platforms for curriculum design, content analysis applying Bloom's Taxonomy, and generated weekly lecture plans with CLOs and PLOs. Created NLP-based systems for automated CLO-PLO mapping using BERT, Bloom's Taxonomy, and Streamlit. Designed and deployed real-time face tracking systems using ESP32-CAM, Python, and servomotors. Developed AI chatbot integrations and automated student CLO performance calculations with data parsing and visualization in Python. Built deep learning models using CNNs for bone fracture detection and created real-time controllable camera systems using MicroPython for surveillance and motion tracking.
Developer / AI Engineer
December 31, 2019 - August 21, 2025
Developed various AI and machine learning applications focusing on education and healthcare. Leveraged Python, Flask, TensorFlow, and Neo4j to create end-to-end AI-driven solutions, including chatbots, image classifiers, and camera systems for surveillance.
AI Engineer
January 1, 2019 - Present
Developed a conversational chatbot using AIML for educational and service-based interactions, integrated with Flask and Neo4j. Designed AI-powered platforms for curriculum design that analyze subject content, apply Bloom's Taxonomy, and generate weekly lecture plans with CLOs and PLOs. Built NLP-based curriculum mapping tools automating CLO–PLO mapping using BERT and Streamlit. Developed a real-time face tracking system using ESP32-CAM, Python, and servomotors. Created an AIML chatbot system integrated with Flask and Neo4j. Automated CLO calculation from student assessment data using Excel parsing and data visualization in Python (Pandas, Matplotlib). Built a deep learning model using CNNs for medical image classification to detect bone fractures, and created a real-time controllable camera system using MicroPython for surveillance and motion tracking.
AI Engineer
January 1, 2021 - August 21, 2025
Developed a conversational chatbot using AIML for educational and service-based interactions, integrated with Flask and Neo4j. Created an AI-powered platform that analyzes subject content, applies Bloom's Taxonomy, and generates weekly lecture plans with CLOs and PLOs. Built an NLP-based curriculum mapping tool for automated CLO-PLO mapping using BERT, Bloom’s Taxonomy, and Streamlit. Developed a real-time face tracking system using ESP32-CAM, Python, and servomotors. Implemented CNN-based deep learning models for medical image classification to detect bone fractures. Created a controllable camera system using MicroPython for surveillance and motion tracking. Built a student CLO performance system to automate CLO calculation from student assessment data using Excel parsing and visualization in Python (Pandas, Matplotlib). Integrated AIML chatbot with Flask and Neo4j.

Education

Matriculation at Allied School Apex College
January 11, 2030 - August 21, 2025
F.Sc Pre-Engineering at Allied School Apex College
January 11, 2030 - August 21, 2025
Bachelors in Artificial Intelligence at University of Management and Technology
October 1, 2024 - August 21, 2025

Qualifications

AI Engineer
October 1, 2021 - August 21, 2025

Industry Experience

Education, Healthcare, Software & Internet
    paper course craft Ai tool

    Course Craft is an AI-powered educational tool that automates:

    CLO–PLO Mapping (Course Learning Outcomes → Program Learning Outcomes)

    Bloom’s Taxonomy Classification

    Student Achievement Analysis

    Built with Python, NLP, and Neo4j, Course Craft reduces course design time from days to minutes, ensuring accuracy, consistency, and accreditation readiness for educators and academic institutions.

    🚀 Features

    Automated CLO Generation – Extracts CLOs from course descriptions and lecture outlines.

    PLO Mapping Engine – Uses NLP to match CLOs with relevant PLOs based on curriculum standards.

    Bloom’s Taxonomy Classification – Categorizes CLOs into cognitive levels (Remember → Create).

    Dynamic Achievement Calculation – Supports variable student datasets for CLO success rate analysis.

    Interactive Web Interface – Easy to use via Flask or Streamlit.

    Data Visualization – Displays CLO–PLO mappings and achievement rates in clear tables & charts.

    🛠️ Tech Stack

    Programming Language: Python

    Frameworks: Flask / Streamlit

    NLP Tools: HuggingFace Transformers, NLTK, BERT

    Database: Neo4j (for relationship mapping)

    Data Processing: Pandas, NumPy

    Visualization: Matplotlib, Plotly