AI Engineer

Hamza Alzahrani

I design and fine-tune generative models, from data pipeline to interface.

About Me

Portrait of Hamza Alzahrani

I'm Hamza, an AI engineer drawn to the generative side of the field: large language models and image generation, built on a foundation in computer vision, deep learning, and NLP. What I enjoy most is taking an idea all the way through, from shaping the dataset to fine-tuning the model to wrapping it in something people can use. I studied Artificial Intelligence at IAU, and I work mainly in PyTorch and TensorFlow. Lately that has meant fine-tuning Stable Diffusion XL for controllable image generation and helping build a real-time computer vision system for activity recognition.

Projects

Lustre — A ring design tool powered by a fine-tuned text-to-image model.

Lustre

A ring design tool powered by a fine-tuned text-to-image model.

Select a cut, stone, metal, and setting from a taxonomy of 54 ring variants, and the model renders a photorealistic finished ring in seconds. I built the entire generative core: designed the four-axis attribute taxonomy, built a synthetic data pipeline of over 1,200 images, and performed rank-4 LoRA fine-tuning of Stable Diffusion XL, achieving 97.5% attribute alignment in my evaluation. The system also includes a web frontend for end users and anyone to use. This bridges product design, generative AI, and data engineering in a single tool. The web frontend was built with a teammate.

  • Stable Diffusion XL
  • LoRA
  • Diffusers
  • PyTorch
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HARIS — A real-time system that flags hostile activity in CCTV footage.

HARIS

A real-time system that flags hostile activity in CCTV footage.

through a four-tier auditable pipeline: motion detection, person and weapon recognition, pose estimation, and skeleton-based action classification. The system flags anomalies and builds a complete evidence chain that operators can audit in a dashboard. A five-person team project. My contributions: project planning and the software project management plan (SPMP), literature review and problem framing, and the role-based access control design for the operator dashboard.

  • RT-DETR
  • BoT-SORT
  • RTMPose
  • ST-GCN
  • PyTorch
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StegaMark — A browser-based watermarking studio for protecting digital images.

StegaMark

A browser-based watermarking studio for protecting digital images.

Add visible watermarks for branding and copyright, embed hidden data using LSB steganography for authentication and ownership verification, and test automatic watermark removal attacks to assess robustness. All processing runs client-side in the browser, no server needed. The tool bridges information security, and creative workflows. A team project; I contributed to the initial concept, design decisions, and project documentation.

  • JavaScript
  • Canvas API
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Education

  • KAUST Academy Artificial Intelligence, Computer Vision
    Advanced stage · out of 10,000+ applicants nationwide
  • Imam Abdulrahman Bin Faisal University B.Sc. Artificial Intelligence
    2021 – 2026 · GPA 4.48/5.0

Connect

Open to opportunities and collaboration. The fastest way to reach me: