Applied AI engineering
Structured workflows from data preparation and model evaluation to experimentation and usable delivery.
Open to high-impact AI opportunities
Engineering intelligence. Enabling people.
Marwan Abdelghaffar.
AI engineer · data scientist · community builder
I turn ambitious ideas into practical AI experiences. From end-to-end machine learning workflows to developer communities, I combine technical execution, clear communication, and disciplined learning.
36K
LinkedIn followers
Verified Aug 2026
Silver
Huawei ICT Competition
National cloud track
12
Deep learning lab projects
Project-based practice
© Marwan Abdelghaffar · Official portfolioBuilding with intentCairo, Egypt · Available globally
Leadership
Lead & Owner · HCDG Giza
Engineering
Junior AI Expert · Kader & Associates
Growth
DEPI · WorldQuant · Huawei Cloud
What I bring
Technical depth with a human point of view.
I connect engineering, product thinking, and community enablement so the work is technically sound, useful, and understandable.
Emerging technology
Hands-on learning across quantum algorithms, cloud platforms, generative AI, and new technical frontiers.
Community leadership
Programs, workshops, partnerships, and systems that help technical communities learn and execute consistently.
Selected work
Projects built around real problems.
Selected workMachine Learning
Predictive Analytics
Customer Churn Prediction & Analysis
An end-to-end ML workflow covering exploration, preprocessing, model development, MLflow experiment tracking, and Streamlit delivery.
ChallengeHelp teams identify customers at risk of churn and act earlier.
OutcomeA deployment-oriented case study spanning the complete ML lifecycle.
PythonScikit-learnXGBoostMLflowStreamlit
Environmental Chemistry
Alexandria Quantum Hackathon 2025
A quantum modeling project for carbon capture using vibrational analysis and VQE-based workflows for CO₂ interaction with an amine model.
ChallengeExplore a computational path for modeling environmentally relevant molecular behavior.
OutcomeTechnical notebooks and a team report connecting quantum algorithms with climate research.
QiskitVQEIBM QuantumMolecular Modeling
Selected workHealthcare AI
Medical Prediction
Heart Disease ML
A structured prediction workflow on the UCI Cleveland dataset with preprocessing, feature analysis, model comparison, clustering, and Streamlit delivery.
ChallengeCreate a clear, evaluation-led workflow for early heart-disease risk assessment.
OutcomeA complete applied healthcare ML pipeline with an interactive interface.
PythonRandom ForestSVMData AnalysisStreamlit
Education
Thanaweya 2025 Results
A bilingual, responsive results platform with name and seat-number search, percentage calculation, academic grades, and print/PDF options.
ChallengeMake high-school result lookup simple and usable for students and families on any device.
OutcomeA live Flask application with an open-source codebase and accessible bilingual UI.
FlaskPythonJavaScriptResponsive UIDeployment
The working philosophy
Build honestly. Measure carefully. Share what works.
I am looking for work and collaborations where practical AI, responsible execution, and meaningful learning reinforce one another.