A portfolio in seven chapters

Every system starts as a question.

Ziyad Ahmed

Junior AI EngineerCairo, Egypt

Architecting intelligent systems that turn raw data into decisive action. Let's automate your future.

01The Curiosity

Where it starts

Long before the models, there was the question: how do machines learn to decide?

Ziyad Ahmed | Junior AI Engineer

I bridge the gap between theoretical machine learning and practical software engineering. Driven by a deep curiosity for how intelligent systems can improve our lives, I focus on taking AI models out of a vacuum. My goal is to architect and engineer impactful solutions that tackle real-world challenges head-on.

Based in
Cairo, Egypt
Focus
Applied AI & backend systems
Currently
Instructor at NTI
02The Craft

Engineering in production

Applied AI work: data pipelines, model training, and services built to run reliably.

Jul 2025 - Present

AI Instructor

National Telecommunication InstituteNTI

Translated complex machine learning theories and highly technical architectures into clear, actionable engineering steps. This role refined my ability to communicate advanced concepts effectively, ensuring that complex AI technology remains practical, understandable, and fundamentally usable for any audience.

Feb 2025 - May 2025

AI Intern

National Telecommunication InstituteNTI

Bridged the gap between academic theory and real-world application by immersing myself in enterprise-level data lifecycles. Collaborating alongside an incredible cohort of peers, I learned directly from industry experts across Data Engineering, NLP, and Computer Vision to build cohesive, practical AI projects as a team.

03The Builds

Systems with a spine

Each project began as a stubborn problem and ended as something you can actually run.

AI Research01

Skepti-Scan

An aggressive, RAG-based AI fact-checking investigator that cross-references claims against live web data.

  • Python
  • FastAPI
  • LangChain
  • +2
Open
Multimodal AI02

One-Sight

A multimodal AI platform that synthesizes unstructured campaign media into a definitive intelligence dashboard.

  • Python
  • FastAPI
  • Hugging Face
  • +2
Open
01 / 01
04The Toolkit

What I reach for

A small, sharpened set of tools — chosen for reliability, not for the résumé.

Languages

  • Python
  • C++
  • Java
  • SQL

AI & ML

  • PyTorch
  • TensorFlow
  • LangChain
  • Hugging Face
  • scikit-learn
  • OpenCV

Data

  • Pandas
  • NumPy
  • PostgreSQL
  • MongoDB
  • Redis

Engineering

  • FastAPI
  • Docker
  • AWS
  • Git
05The Foundation

The groundwork

Four years of turning first principles into instinct.

B.Sc. in Informatics & Computer Science

2020 - 2024

The British University in EgyptBUE·Cairo, Egypt

Major: Artificial Intelligence

I built my engineering foundation from the ground up. Mastering C++ and database architectures early on completely shaped how I tackled Deep Learning and NLP later in my degree. It taught me to treat AI models not just as math, but as robust software designed for real-world deployment.

06The Proof

Kept learning

Deliberate practice, documented.

  • AI Engineer

    365 Data Science

    Nov 2025Verify
  • Natural Language Processing in Python

    Maven Analytics

    Oct 2025Verify
  • Cloud Basics for Data Professionals

    Maven Analytics

    Oct 2025Verify
  • AWS Machine Learning Foundations

    AWS Academy

    Apr 2025Verify
  • Data Science in Python: Data Prep & EDA

    Maven Analytics

    Apr 2025Verify
01 / 01
07The Next Chapter

Your turn

The interesting part of any story is what happens next.

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