Available for AI/ML opportunities

Abdelrahman Bakr Mabrouk GhazyBakr Ghazy

AI Engineer · Machine Learning Engineer · Data Scientist · Software Engineer

Passionate about building AI systems, machine learning applications, LLM-powered solutions, and data-driven products that solve real-world business problems.

Ain Shams University·Computer Science & AI·Cairo, Egypt
Portrait of Abdelrahman Bakr Ghazy, AI and Machine Learning Engineer
PyTorch · TensorFlow
LLMs · RAG
Vision Transformers
About

Engineering intelligence, end to end.

I design, train, and ship machine learning systems — from classical models to modern LLM and RAG pipelines. Currently studying Computer Science & AI at Ain Shams University, I work at the intersection of research, data, and product.

I'm a Computer Science & AI student focused on turning research-grade models into production systems people actually use. My work spans computer vision, NLP, LLM applications, and full-stack ML platforms — with an emphasis on measurable business impact.

I care about clean data, honest evaluation, and thoughtful UX around model outputs. I move fluently between Python notebooks, PyTorch training loops, backend services, and container deployments.

8+
Shipped Projects
4
Internships & Roles
1st
Kaggle Placement

Focus areas

Machine LearningDeep LearningComputer VisionLarge Language ModelsRAGData ScienceBackend DevelopmentSoftware EngineeringDockerCloudGit
Skills

A stack built for shipping AI.

From low-level model engineering to production-grade backends, visualization, and team leadership.

Programming Languages

05
PythonC++JavaSQLJavaScript

Frameworks

09
FlaskStreamlitTensorFlowPyTorchScikit-learnPandasNumPyOpenCVHuggingFace

Tools

06
GitGitHubDockerOracle DatabasePower BILinux

Machine Learning

13
Deep LearningComputer VisionNLPLLMsRAGFeature EngineeringData AnalysisClusteringClassificationRegressionModel OptimizationGrid SearchCross Validation

Visualization

03
MatplotlibSeabornPower BI

Soft Skills

06
LeadershipProblem SolvingCommunicationTeamworkPresentationMentoring
Experience

Work, teaching, and volunteering.

A blend of engineering, leadership, and community impact.

Technical Instructor

IEEE Al-Azhar Student Branch

  • Delivered technical sessions.
  • Mentored students.
  • Organized technical camps.
Volunteer

United Nations Habitat (World Urban Forum)

  • International event operations.
  • Team coordination.
  • Visitor support.
Elite Internship Program

ASU Career Center

  • Leadership
  • Event Management
  • Project Coordination
Machine Learning Internship

NTI

  • Machine Learning
  • Model Development
  • Data Analysis
Selected work

Projects with measurable outcomes.

A mix of applied ML, deep learning research, LLM systems, and full-stack data products.

PROJECT_IMAGE

Retail Buyer Segmentation

End-to-end ML platform combining K-Means clustering and six classifiers, achieving 99.55% accuracy with automated preprocessing and business analytics.

FlaskScikit-LearnKMeansLogistic RegressionXGBoost
PROJECT_IMAGE

Emotion Detection System

Advanced facial emotion recognition models achieving 74.8% Kaggle accuracy and 1st Place using Vision Transformers and deep learning.

PyTorchVision TransformersViTDeiTConvNeXt
PROJECT_IMAGE

Vitamin Deficiency Prediction

Regression and classification pipelines for vitamin deficiency prediction using feature engineering and machine learning.

PythonXGBoostScikit-Learn
PROJECT_IMAGE

Lung Cancer Survival Prediction

Machine learning models predicting patient survival using clinical datasets.

PythonScikit-LearnPandas
PROJECT_IMAGE

Medical Diagnosis Expert System

Rule-based medical diagnosis chatbot with a Streamlit interface.

PythonStreamlitRule Engine
PROJECT_IMAGE

Billing System

Oracle database application for invoices, payments, customers, and transactions.

OracleSQLJava
PROJECT_IMAGE

Business Analytics Dashboard

Marketing analytics dashboard providing insights into customer behavior and revenue.

Power BISQLDAX
PROJECT_IMAGE

LLM & RAG Assistant

Retrieval-Augmented Generation applications using embeddings, vector databases, and LLMs.

LangChainEmbeddingsVector DBLLMs
Achievements

Numbers that back the work.

1st

Place — Kaggle Emotion Detection Competition

99.55%

Retail Buyer Segmentation Accuracy

74.8%

Vision Transformer Accuracy

91.42%

CNN Validation Accuracy

Education & Certifications

Learning, formally and constantly.

Ain Shams University

Faculty of Computer Science and Artificial Intelligence

DegreeBachelor's
ProgramComputer Science & AI
GraduationExpected
NASA International Space Apps Challenge — Galactic Problem Solver
October 2025

NASA International Space Apps Challenge — Galactic Problem Solver

NASA

View Certificate
Machine Learning for Data Analysis — Digital Egypt Youth (Score 95%)
August 2025

Machine Learning for Data Analysis — Digital Egypt Youth (Score 95%)

NTI · Ministry of Communications and IT

View Certificate
Python Programming Basics
November 2025

Python Programming Basics

ITI MaharaTech — AI Academy

View Certificate
RoboTech Summer Training — Certificate of Appreciation
2025

RoboTech Summer Training — Certificate of Appreciation

RoboTech

View Certificate
Contact

Let's build something intelligent.

I'm open to full-time roles, internships, research collaborations, and freelance ML work.