I'm Hammad Ali, a Full Stack Developer, AI Engineer, and Python Web Developer with 2 years of hands-on experience building AI-driven systems, backend services, and production-ready web applications. I have a strong background in machine learning, NLP, Flask-based APIs, and database-driven systems, and I focus on practical, scalable solutions for education, business automation, and industry workflows.…

Hammad Ali

I'm Hammad Ali, a Full Stack Developer, AI Engineer, and Python Web Developer with 2 years of hands-on experience building AI-driven systems, backend services, and production-ready web applications. I have a strong background in machine learning, NLP, Flask-based APIs, and database-driven systems, and I focus on practical, scalable solutions for education, business automation, and industry workflows.…

Available to hire

I’m Hammad Ali, a Full Stack Developer, AI Engineer, and Python Web Developer with 2 years of hands-on experience building AI-driven systems, backend services, and production-ready web applications.

I have a strong background in machine learning, NLP, Flask-based APIs, and database-driven systems, and I focus on practical, scalable solutions for education, business automation, and industry workflows.

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Skills

Experience Level

React JS
Expert
GitHub
Expert
Python
Expert
JavaScript
Expert
HTML5
Expert
Java
Expert
PostgreSQL
Expert
SQL
Expert
Data Science
Expert
Docker
Expert
MySQL
Expert
Neo4j
Expert
TensorFlow
Expert
Kubernetes
Intermediate
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Language

English
Fluent

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.
Software Engineer (Frontend & Backend) at NeuralNest
July 1, 2024 - August 1, 2025
Developed frontend interfaces using React with reusable components and clean UI logic. Built and maintained backend services using Python and supported Java-based backend modules. Designed and integrated RESTful APIs for frontend-backend communication, including deployment, service debugging, and backend process monitoring. Collaborated on data-backed applications across multiple industry-focused projects. Assisted in debugging production issues related to performance, API failures, and data flow. Used Git/GitHub for version control and collaborative development.
Full Stack Developer at Self-Employed / Remote
September 1, 2025 - Present
Delivered React-based frontend applications and backend services using Python and Java for small businesses and individual clients. Built responsive UI components in React, handled API integration and basic client-side validation. Developed and integrated RESTful APIs via Python (Flask) and supported Java-based backend services. Implemented authentication flows, CRUD dashboards, and collaborated with clients to gather requirements and deliver features incrementally. Deployed and tested applications, handling basic server setup and debugging. Used Git/GitHub for version control and iterative development.
Software Engineer at NeuralNest
July 1, 2024 - August 1, 2025
Full stack engineer working on both front end and back end, integrating APIs; built multiple chatbots and websites. Collaborated on database-backed systems and custom software for multiple industry domains.
Freelance Full Stack Developer at Self-Employed / Remote
September 1, 2025 - Present
Delivered React-based frontend and backend services using Python and Java for small businesses and individual clients; built responsive UI, RESTful APIs, authentication flows, CRUD dashboards, and client-ready features. Collaborated with clients to gather requirements and deliver features incrementally.

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
Bachelor’s Degree in Artificial Intelligence at University of Management and Technology, Pakistan
January 11, 2030 - September 1, 2025
Matriculation at Apex College, Pakistan
January 11, 2030 - May 1, 2021
Grade: 79% at Allied School, Pakistan
January 11, 2030 - February 19, 2026
Bachelor's Degree in Artificial Intelligence at University of Management and Technology, Pakistan
January 11, 2030 - September 1, 2025
Matriculation at Apex College, Pakistan
January 11, 2030 - May 1, 2021
Grade: 79% at Allied School, Pakistan
January 11, 2030 - March 23, 2026

Qualifications

AI Engineer
October 1, 2021 - August 21, 2025

Industry Experience

Education, Healthcare, Software & Internet, Computers & Electronics, Professional Services
    paper Vertex AI Tec Corporate Website

    Modern, interactive corporate website showcasing AI services, team profiles, blog content, and career opportunities

    Industry/Domain

    Technology / AI Services / Corp
    This project delivers a corporate website for Vertex AI Tec designed to showcase AI services, team members, blog content, and career opportunities. The goal was to create a modern, interactive user experience using animations and WebGL components while maintaining a clean corporate identity.

    The solution is a frontend-only React application featuring multi-page navigation, interactive UI components, and media-rich sections, built with performance-conscious animations using GSAP and lightweight WebGL effects.

    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