Muhammad Hamza

AI Developer | LLM & RAG Engineer | Research Author (Elsevier)
I am Muhammad Hamza, an AI and Python developer specializing in LLM-powered applications, Retrieval-Augmented Generation (RAG), agentic AI workflows, computer vision, NLP, machine learning, and AI automation. I build practical AI solutions using Python, Django/FastAPI, OpenAI integrations, data pipelines, and scalable backend systems.

Explore my AI projects, AI development services, and resume to learn more.
Muhammad Hamza AI Developer and LLM Engineer

About Muhammad Hamza

Muhammad Hamza is an AI engineer and Python developer from Pattoki, Pakistan, with experience in LLM applications, RAG pipelines, agentic AI systems, AI-driven cybersecurity, computer vision, and scalable machine learning workflows. He works on end-to-end AI development, from data preprocessing and model experimentation to backend APIs, deployment-ready software, and real-world automation. His research background includes medical imaging AI and deep learning for Alzheimer’s disease classification.

Work Platforms

Connect with Muhammad Hamza across professional platforms, AI research profiles, open-source projects, and freelance service channels:


Core Skills

My core AI development skills include LLM engineering, RAG systems, Python backend development, machine learning, data science, and research-based AI implementation.

Python

Python development for AI applications, APIs, automation, data pipelines, OpenCV, TensorFlow, PyTorch, NumPy, and production workflows.

Deep Learning

Deep learning experience with CNNs, medical imaging, computer vision, model experimentation, and AI research implementation.

Django

Django and FastAPI backend development for AI-powered web applications, REST APIs, dashboards, authentication, and integrations.

Data Science

Data preprocessing, feature engineering, model evaluation, dataset visualization, analytics, and machine learning experiments using Pandas, Scikit-learn, and Matplotlib.

Services

I provide AI development services for businesses, startups, and researchers, including LLM applications, RAG chatbots, agentic AI automation, Python backend systems, machine learning models, computer vision, NLP, and AI-powered web applications.

Web Development

AI-ready Django and FastAPI web applications with REST APIs, databases, authentication, dashboards, and scalable backend architecture.

AI & Automation

LLM-powered automation, RAG chatbots, AI agents, OpenAI integrations, workflow automation, and Python-based intelligent systems.

Research Work

AI research support for deep learning experiments, dataset preparation, model evaluation, methodology design, technical writing, and publication-ready documentation.

Data Analytics

Data analysis, visualization, predictive modeling, feature engineering, reporting dashboards, and ML workflows using Pandas, Scikit-learn, and Matplotlib.

Development Tools

Tools and platforms I use to design, build, test, and deploy AI software, machine learning experiments, web applications, APIs, and research projects.
Visual Studio Code for AI and Python development

Visual Studio Code

Visual Studio Code is a free source-code editor made by Microsoft for Windows, Linux and macOS. Features include support for debugging, syntax highlighting, snippets, code refactoring, and embedded Git.
GitHub profile and open-source AI projects

GitHub

GitHub, Inc. is a subsidiary of Microsoft which provides hosting for software development and version control using Git. It offers the distributed version control and source code management (SCM) functionality of Git, plus its own features.
Android Studio for mobile app development

Android Studio

Android Studio is the official IDE for Android app development. It provides tools for coding, testing, debugging, and building Android applications efficiently using Java and Kotlin.
Kaggle machine learning and data science profile

Kaggle Platform

Kaggle is a community for data scientists and machine learning engineers. It allows users to share datasets, participate in competitions, and build predictive models in a collaborative environment.
Google Colab for Python AI experiments

Google colab

Google Colab is a cloud-based Jupyter Notebook service that allows you to write and execute Python code for data analysis and machine learning using free GPU and TPU resources.
Unity engine for simulation and interactive applications

Unity Engine

Unity is a powerful cross-platform engine for creating interactive 2D, 3D, VR, and AR experiences. It is widely used for developing games, simulations, and immersive visual applications.
Arduino IDE for embedded systems and IoT projects

Arduino IDE

Arduino IDE is an open-source platform used for programming microcontrollers. It simplifies prototyping hardware-based projects for IoT, robotics, and embedded systems.
Postman for API testing and backend development

Postman (API)

Postman is an API testing and development tool that simplifies sending requests, automating workflows, and documenting APIs for backend and web service development.

Testimonials