AI Engineer

Ahmed AL-Ghazali

Muscat, Oman

Crafting AI-driven platforms for healthcare, automation, and human impact.

AI engineer bridging the gap between research and production. Specializing in deep learning, Gen AI, and scalable software architectures that solve real-world problems.

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FAWZY.AI

Neural Active

Consult the High-Level Supervisor.

You

List all projects

FAWZY

Ahmed built MindTrack AI, AnemoCare, Gymee, and more. *purr*

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Years of AI Experience

AI Projects Shipped

About

Driving AI for measurable impact

My interest in Artificial Intelligence began in 2019 when I first saw Boston Dynamics’ humanoid robot ATLAS performing actions that closely resembled human behavior.

Watching a machine move and adapt like a human sparked a deep curiosity in me about how intelligence can be modeled and implemented in machines. This passion led me to major in Artificial Intelligence at Cairo University, where I gained both theoretical foundations and practical experience across various AI domains.

Projects

Selected builds

AI & NLP

MindTrack AI — Precision Learning for Every Mind

A state-of-the-art, AI-driven adaptive learning platform that personalizes student learning paths in real-time using Bayesian Knowledge Tracing (BKT).

**Adaptive Practice**: Visual topic tree where nodes unlock as students prove mastery.
**Teacher Command Center**: Data-driven heatmaps and proactive struggle alerts.
**Custom BKT Engine**: Personalized learning journey through advanced probabilistic modeling ((L)$).

Python Django 5.1 BKT PostgreSQL LaTeX Bootstrap

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Gen AI

Feb/2026

FAWZY.AI

eyes narrow The tech stack for FAWZY.AI includes Python, FastAPI, Django, LangChain, Groq, Hugging Face, FAISS, and OpenPyXL. twitches ear This stack supports the development of a RAG-powered portfolio chatbot with admin controls.

RAG over knowledge files + Django DB content
Admin-controlled maintenance mode, tracking, and index refresh
Reduced redundant LLM calls for standalone questions
Optional FAISS persistence for faster restarts
Excel Q&A logging for evaluation/testing

Python FastAPI Django LangChain Groq Hugging Face FAISS OpenPyXL

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Medical AI

Dec 2025 – Jan 2026

LabLens AI – Intelligent Medical Data Extraction

A professional-grade medical intelligence platform that transforms unstructured paper lab reports into structured, actionable data using Vision AI.

Architected a robust Vision AI pipeline using Google Gemini to extract context-aware structured data from medical tables with 85-95% accuracy.
Engineered a high-resilience batch engine with a custom API Key Rotation & Failover system to handle high-volume processing and rate-limit bypass.
Integrated a longitudinal analytics dashboard that tracks 20+ biomarkers over time, helping clinicians identify health patterns 90% faster.

Python Django Next.js React TypeScript Google Gemini AI OCR REST API SQLite

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Medical AI

Oct 2024 – Jul 2025

AnemoCare — AI Anemia Management

An AI-powered clinical decision support system designed to automate anemia management for hemodialysis patients.

Directed a multi-member team, owning experimentation, model selection, and delivery.
Combined OCR and ML inference to extract lab metrics with reduced manual errors.
Built secure experiences for doctors, nurses, and patients plus a Flutter companion app.

Python TensorFlow Django Flutter OCR

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Experience

Leadership & delivery

March 2026 – Present

AI & Software Engineer Intern – AI-Driven Adaptive Learning

National University of Science and Technology – Muscat/Oman

Developing MindTrack AI, an adaptive learning platform for Level 1 Mathematics, using Bayesian Knowledge Tracing (BKT) to model student mastery and personalize learning paths in real time.
Design and implement a teacher analytics dashboard with class-level heatmaps and struggling-student alerts triggered by the BKT engine, enabling targeted human intervention.
Develop a recommendation system that adapts question difficulty based on student mastery and interaction data.
Build backend components for managing student data, question banks, and performance analytics.

Oct 2024 – Jul 2025

Team Lead, AnemoCare (Graduation Project)

Cairo University, Egypt

Led a team of 5 to design and build AnemoCare, an AI-powered mobile platform for non-invasive anemia screening using conjunctival image analysis.
Guided research direction, sprint cadences, and stakeholder demos for clinical validation sessions.
Drafting a regional-first research paper on AI-driven anemia care targeting IEEE journals.

Education

Academic Background

2021 – 2025

Bachelor of Computer Science

Cairo University, Egypt • Artificial Intelligence

Specializing in advanced machine learning and robotics.
Relevant coursework: Deep Learning, Computer Vision, Natural Language Processing, Algorithms & Data Structures.

Certifications

Continuous Learning

AI in Healthcare

Generative AI for Healthcare

2025

Google Cloud

Verify Certificate

AI for Medicine Specialization

In Progress

Deeplearning.AI

Explainability & Ethics

Explainable AI (XAI) Specialization

In Progress

Duke University

Foundations

Understanding Research Methods

2025

University of London

Verify Certificate

Intro to AI & Applications

2023

Zewail City of Science & Technology

IBM Machine Learning Professional Certificate

2024

IBM and Coursera

Verify Certificate

Generative AI & LLMs

5-Day Generative AI Intensive Course

2024

Kaggle & Google

Generative AI with Large Language Models

2026

Deeplearning.AI

Skills

Technical stack

AI & ML

TensorFlow PyTorch Scikit-learn Nature-inspired Optimization

Databases & DevOps

SQL Git GitHub

Languages

Arabic (Native) English (C1) German (A2)

Programming

Python Java C++

Web & Mobile

Django Flask Flutter JavaScript HTML5 CSS3

Contact

Let's build something together

Whether you have a project in mind, a collaboration opportunity, or just want to connect — my inbox is always open.

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