Muhammad Hamza

AI / ML Engineer

AI Engineer specializing in LLM-powered systems, Retrieval-Augmented Generation (RAG), and agentic AI workflows. Currently developing enterprise AI solutions at CyberZeus Software Systems, including AI-driven cybersecurity systems, intelligent automation, and scalable ML pipelines. Experienced in designing end-to-end AI systems from data preprocessing and model training to deployment and backend integration. Research background in medical imaging AI and anomaly detection, with published work on deep learning for Alzheimer’s disease detection.

hamza.ai.official@gmail.com
+92 302 4842593
Pakistan

EXPERIENCE

AI Developer

CyberZeus Software Systems | 01/2026 – Present

Design and develop AI/ML solutions for enterprise and web applications.
Build LLM-powered applications including RAG pipelines and agentic AI workflows using frameworks like LangChain.
Develop AI-driven cybersecurity systems including anomaly detection and threat analysis models.
Train, fine-tune, and deploy machine learning and deep learning models.
Integrate AI models into backend APIs and software platforms.

AI Software Engineer Intern

Efaida Software House | 08/2025 – 12/2025

Worked on AI automation workflows using Zapier, n8n and Make.com.
Assisted in building AI models for text classification and object detection.
Integrated APIs with Python utilities to automate reporting pipelines.
Reduced manual work for sales teams by automating report generation.

AI Developer (Independent Projects)

04/2024 – 12/2025

Developed deep learning models for medical imaging and classification tasks.
Built pipelines for dataset preparation, augmentation and preprocessing.
Evaluated models using ROC-AUC, F1-score and confusion matrices.
Collaborated on research projects leading to journal publication.

Freelance Python Developer & ML Engineer

Fiverr | 2023 – Present

Completed 12+ international projects in machine learning, automation and data processing.
Developed predictive models and automation tools for global clients.
Built end-to-end ML pipelines including preprocessing, training and deployment.
Automated repetitive workflows to improve client efficiency.

Projects

Agentic Cybersecurity AI Assistant (RAG + Multi-Agent System)

Enterprise AI assistant designed for cybersecurity operations using agentic AI workflows and Retrieval-Augmented Generation (RAG). Automates vulnerability analysis, security tool orchestration, monitoring tasks, and report generation.

Multi-agent orchestration for automated security workflows
RAG-based vulnerability knowledge retrieval
Integration with cybersecurity tools and APIs
Automated reporting and scheduled monitoring

AI-Based Ticket Scalping Prevention System

Developed an AI-driven anomaly detection system to prevent automated ticket scalping.

Detects bot behaviour and abnormal purchase patterns
Machine learning based fraud detection
Dynamic pricing adjustments for fairness

AI-Driven Intrusion Detection for Critical Systems

Designed a hybrid deep learning architecture using TabNet + Transformer + Cross-Attention trained on the CIC-IDS 2017 dataset for cybersecurity detection.

Alzheimer's Disease Detection from 3D MRI

Developed a 3D CNN model using MobiBrainNet for early detection of Alzheimer’s disease from volumetric MRI datasets.

Chatbot for Technical Support (NLP)

Built an NLP-based chatbot using intent classification and rule-based responses for automated customer support systems.

Certifications & Achievements

Kaggle Notebook Expert
Coursera Data Analytics
Python Certification

Research Publication

3D-MobiBrainNet — Alzheimer Detection
Ain Shams Engineering Journal (Elsevier Q1)