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Ziro21/README.md

Hi, I'm Zeyad

AI & Machine Learning Engineer · MSc Applied AI @ Warwick · AI Systems · RAG · Predictive Modelling

Portfolio LinkedIn Email

About Me

I build AI and machine learning systems that turn structured and unstructured data into reliable software products. My work spans RAG and LLM applications, predictive modelling, computer vision, data pipelines, API engineering and cloud deployment. I focus on evaluation, data quality, reproducibility and engineering decisions that remain understandable beyond the demo.

  • Currently completing an MSc in Applied Artificial Intelligence at the University of Warwick (WMG)
  • Building an industry-linked AI system with Dogtooth Technologies for sensor-based collision detection and classification
  • Comfortable across the lifecycle: data ingestion, feature engineering, model development, evaluation, API design, testing and deployment
  • Open to AI, machine learning and software engineering opportunities in the UK

Technical Stack

Languages
Python JavaScript Java R SQL

AI / Machine Learning
PyTorch scikit-learn AI Systems RAG Pipelines Model Evaluation Data Pipelines Predictive Modelling

Full-Stack Engineering
FastAPI Next.js React TypeScript

Cloud and Delivery
Docker Google Cloud AWS Git

Featured Projects

Project Engineering focus Stack
PromptGuard AI Real-time LLM data loss prevention combining deterministic checks with model-assisted classification across a browser extension, API and administration dashboard FastAPI · Cloud Run · Chrome MV3 · React
Agentic AI Job Application Copilot End-to-end job data product with multi-ATS ingestion, PostgreSQL persistence, embeddings-based semantic ranking, scheduled workflows and 28 automated tests FastAPI · Next.js · PostgreSQL · Docker
NBA Analytics Assistant Deterministic analytics assistant that maps natural-language questions to validated tool calls over structured NBA data, with explicit refusal paths and reproducible calculations Python · pandas · Tool calling · Pytest
SpatialScene3D Monocular video reconstruction using 3D Gaussian Splatting, open-vocabulary semantic queries and an agentic quality-assurance gate COLMAP · 3DGS · Grounded-SAM-2 · CLIP

Let's Connect

I'm open to conversations about AI engineering, machine learning and software engineering opportunities, particularly work involving production AI systems, RAG, predictive modelling, data platforms or API-backed products. The fastest way to reach me is by email or through my portfolio.

Pinned Loading

  1. Agentic-AI-Job-Application-Copilot Agentic-AI-Job-Application-Copilot Public

    Python

  2. Data-Insights-Dashboard-for-Public-Health-Reports Data-Insights-Dashboard-for-Public-Health-Reports Public

    HTML

  3. Diabetes-Risk-Prediction-and-Health-Insights-system Diabetes-Risk-Prediction-and-Health-Insights-system Public

    Jupyter Notebook

  4. PromptGuard-AI PromptGuard-AI Public

    JavaScript

  5. SpatialScene3D SpatialScene3D Public

    3D scene reconstruction from monocular video — COLMAP + 3D Gaussian Splatting + Grounded-SAM-2, with open-vocabulary CLIP queries and an agentic QA release gate.

    Jupyter Notebook 1

  6. Strawberry-Domain-Shift-Adaptation Strawberry-Domain-Shift-Adaptation Public

    Computer Vision deep learning pipeline evaluating and adapting to LED-induced illumination domain shifts using ConvNeXt.

    Jupyter Notebook