01
Discover
Client meetings, business problem, and requirements
About Muhammad Hamza
Muhammad Hamza is an AI Engineer and Software Engineering graduate specializing in Generative AI, Agentic AI, retrieval-augmented generation, computer vision, and machine learning. He designs end-to-end AI systems, from data preparation and model evaluation to backend APIs, deployment-ready software, and real-world automation. His research includes medical imaging AI, brain MRI classification, and skin lesion segmentation.
Selected work
Selected AI systems
Selected AI case studies in computer vision, clinical intelligence, and predictive machine learning. Explore the complete portfolio for RAG, agentic AI, and software engineering projects.
VISIONGUARD / LIVERISK 28
Computer Vision
VisionGuard — Warehouse Safety AI
YOLO + ByteTrack system detecting forklift–pedestrian collision risk with real-world distance, TTC and explainable risk scoring.
YOLO | ByteTrack | Computer Vision
NEURO / MRICASE 042
3D
Medical AI
NeuroInsight AI
Agentic Flutter clinical intelligence platform exploring 3D neuroimaging, explainable AI and case-aware RAG for Alzheimer's MRI analysis.
Agentic AI | RAG | Flutter
FLOOD / FORECASTLIVE MODEL
0.97MODEL SCORE
Machine Learning
Flood Prediction with LightGBM
End-to-end regression pipeline predicting flood-related outcomes from environmental data, with full feature-importance analysis.
LightGBM | Regression | Kaggle
Client-to-production ownership
How I Deliver
I own AI solutions from requirement discovery to production delivery: working directly with clients, translating business needs into technical milestones, architecting and building the solution, demonstrating progress, incorporating feedback, and completing deployment and handover.
Alongside hands-on architecture and implementation, I lead a four-person development team of two junior developers and two interns—providing task planning, technical direction, implementation reviews, integration support, troubleshooting, and delivery coordination.
02
Design
Architecture, AI strategy, scope, and milestones
03
Lead
Task decomposition, guidance, and team coordination
04
Build
AI, backend, integration, and evaluation
05
Validate
Technical testing, client demos, and feedback
06
Deliver
Deployment, documentation, and handover
Work Platforms
Connect with Muhammad Hamza across professional platforms, AI research profiles, open-source projects, and freelance service channels:
Recognition & milestones
Achievements & Recognition
2025
Fully Funded Scholar — Unmanned Aerial Systems
Fully funded selection · Officially announced by the University of Okara
Official Announcement
RECOGNITION
Kaggle Notebook Expert
Publications
Peer-reviewed research publications by Muhammad Hamza in artificial intelligence, deep learning, medical imaging, brain MRI analysis, skin lesion segmentation, and diabetic retinopathy diagnosis.
3D-MobiBrainNet: Multi-class Alzheimer’s disease classification using 3D brain magnetic resonance imaging
Ain Shams Engineering Journal, Volume 16, Issue 11, 2025, Article 103714.
DOI: 10.1016/j.asej.2025.103714
View PublicationWIDENet: A Novel Lightweight CNN for Robust Skin Lesion Segmentation
IEEE Access, Volume 14, 2026, pp. 57763–57781.
DOI: 10.1109/ACCESS.2026.3683571
View PublicationHierarchical deep learning with stability-driven normalization and regularization for accurate multi-class diabetic retinopathy diagnosis
Ain Shams Engineering Journal, Volume 17, Issue 12, 2026, Article 104453.
DOI: 10.1016/j.asej.2026.104453
View PublicationCore Skills
Senior AI engineering capabilities spanning Generative AI, agentic systems, RAG, data science and analytics — from multi-agent workflows and predictive modeling to production retrieval pipelines, deep learning, cloud and DevOps delivery.
Agentic AI & LLM Orchestration
LangChain, LangGraph (multi-agent workflows, state machines, tool use), Model Context Protocol (MCP), LLM application development and prompt engineering.
RAG & Vector Search
RAG pipeline architecture with LlamaIndex and Haystack, vector databases (FAISS, ChromaDB), embedding generation, semantic search and document chunking & indexing.
Machine Learning & Deep Learning
Model training and evaluation, data preprocessing, and deep learning architectures including CNNs, TabNet and Transformers for NLP and computer vision.
Programming, Cloud & DevOps
Python and C++ with NumPy, Pandas, Matplotlib and Seaborn, deployed via AWS, Docker and Kubernetes with GitHub Actions / Jenkins CI/CD pipelines.
AI Cybersecurity
AI-driven anomaly detection and intelligent threat analysis systems, evaluated on accuracy, precision, recall and F1-score for enterprise security operations.
Computer Vision
Real-time detection, tracking and classification pipelines built with OpenCV, YOLO and PyTorch for safety, medical imaging and automation use cases.
Workflow Automation
AI-driven automation connecting Python ML pipelines with Zapier, n8n and Make.com to speed up reporting and operational workflows.
Data Science & Analytics
Exploratory data analysis, statistical modeling, feature engineering, forecasting, KPI design and decision-ready dashboards using Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn and Power BI.
Research & Publications
Published research author (Ain Shams Engineering Journal, Elsevier) in 3D deep learning for medical imaging, with a focus on efficient, explainable model design.
Experience
From architecture to delivery
AI systems built from client requirements through implementation, evaluation, deployment, and production support.
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Aug 2025 – Present
CyberZeus
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AI Engineer Software Systems
Jan 2026 – PresentLead end-to-end AI/ML delivery, client discussions, and a four-person team. Build LangGraph multi-agent, RAG, and cybersecurity workflows.
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AI Developer Games
Aug 2025 – Dec 2025Developed and fine-tuned AI/ML models for web and software products, including integration, evaluation, and testing.
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Apr 2024 – Aug 2025
AI Developer
Minhaj Solutions
Built an agentic RAG support assistant and contributed to computer-vision pipelines for client-facing features.
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Jul 2023 – Present
Freelance AI/ML Engineer & Python Developer
Fiverr
Delivered 12+ international AI/ML and Python engagements across RAG, AI agents, workflow automation, data analysis, and computer vision.
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.
LLM & RAG Systems
Grounded assistants, semantic search, vector databases, document ingestion, evaluation, guardrails, and production-ready retrieval pipelines.
Computer Vision
Real-time detection, tracking, classification, visual analytics, and explainable monitoring systems using YOLO, OpenCV, and PyTorch.
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
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
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
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 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
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
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
Arduino IDE is an open-source platform used for programming microcontrollers. It simplifies prototyping hardware-based projects for IoT, robotics, and embedded systems.
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
Muhammad Hamza is a great service provider and eager to learn new things. I have been in touch with him for the past few years on Fiverr and consider him an intelligent person. And I admire his interest in ML.
I am Keisha Allen, CEO of Expert Solutions. Muhammad Hamza has received certified training from our organization. He has demonstrated excellent performance in his professional duties.
I knew him as a good student during my studies. He always showed great interest in Machine Learning and was not afraid to ask questions and explore new things in his area of interest.
I had a complicated issue and he went to great lengths to get it solved, which is amazing. I highly recommend his services. He constantly makes improvements which results in a better final product for us.
