Data Science & AI-focused Computer Science undergraduate with hands-on experience across Machine Learning, Data Analytics, and LLM applications through 7+ internships.
I am a Computer Science undergraduate at Arab Open University (AOU), focused on Machine Learning, AI, and Data Science.
My work spans predictive modeling, explainable AI, Big Data pipelines, and AI-powered applications. I enjoy taking a problem from raw data to a measurable, usable solution.
Alongside technical work, I founded Retzy.eg and developed leadership, communication, and business experience through technology communities, student organizations, and entrepreneurship.
End-to-end ML pipelines with model evaluation, feature engineering, and explainability using SHAP and LIME.
PySpark, Kafka, Airflow, Docker, FastAPI, Streamlit, and practical AI application development.
Cairo, Egypt
ML / AI / DataInteractive project case studies with 7 live deployed applications, architectural breakdowns, and source code.
Apache Kafka · PySpark Streaming · Spark MLlib · Airflow · Docker
Real-time Big Data pipeline processing agricultural and weather telemetry, forecasting crop yield with MLlib, and orchestrating automated data workflows.
Supabase (PostgreSQL) · In-Memory Parquet · Plotly Dash · Docker
End-to-end dimensional data warehouse with Star Schema on PostgreSQL, caching 174,000+ trips with sub-second analytical aggregations and geospatial routing.
Llama 3 70B · Groq API · LangChain · Streamlit
AI financial advisory agent delivering personalized budgeting, automated expense categorization, and conversational portfolio insights with strict guardrails.
Python · Scikit-Learn · Ranking Metrics · Streamlit Cloud
Machine learning search relevance evaluation and candidate ranking engine with live nDCG performance diagnostics.
SVM · Stacking Ensemble · SHAP · LIME · Streamlit
Early-risk diabetes diagnosis model with a Stacking Ensemble and model explainability via SHAP and LIME, giving clinicians interpretable feature attributions.
Collaborative Filtering · TF-IDF · Matrix Factorization · Streamlit
Intelligent recommendation engine delivering personalized reading discovery via hybrid collaborative filtering, rating similarity scoring, and embedding clusters.
Product Architecture · Interactive Financial Model · Web Simulation
Gamified micro-savings platform with automated transaction round-ups, compound growth simulation, and financial literacy pathways for youth.
Real-time Big Data pipeline processing agricultural and weather telemetry, forecasting crop yield with MLlib.
Dimensional Star Schema on PostgreSQL, caching 174,000+ trips with sub-second aggregations.
AI financial advisory agent delivering automated expense analysis and conversational insights.
Machine learning search relevance evaluation and candidate ranking engine with live nDCG performance diagnostics.
Early-risk diabetes diagnosis model with a Stacking Ensemble and model explainability via SHAP and LIME.
Intelligent recommendation engine delivering personalized reading discovery via hybrid collaborative filtering.
Gamified micro-savings platform with automated transaction round-ups and compound growth simulation.
Interactive demo showing how customer features can change a churn-risk score and its contributing factors.
Explore selected information using terminal-style commands.
Internships, professional roles, and technical work experience.
Founded and scaled an online e-commerce brand, growing an organic follower base of 1,400+ customer community members while overseeing end-to-end business operations, supply chain, and growth strategy.
Leading frontend software engineering efforts, architecting modular, component-driven, and highly maintainable UI systems following modern design patterns and web standards.
Machine Learning Engineer in DEPI, building production-ready data pipelines, analytical architectures, and interactive analytics platforms.
Selected out of 3,000+ applicants for the intensive 8-week AI & Deep Tech Internship program at DSC Egypt.
Machine Learning Engineer Intern at FlyRank AI, driving innovation in search, ranking algorithms, and automated artificial intelligence pipelines.
Leadership, communication, technology communities, and student organization initiatives that complement my technical work.
Participated in technical workshops, hackathons, and collaborative learning activities centered on Microsoft Azure AI, Cloud, and Machine Learning.
Explored Huawei Cloud AI architectures, deep learning model deployment pipelines, and participated in on-campus student tech innovation events.
Official campus ambassador at AOU, coordinating career guidance workshops, peer coaching, and tech networking opportunities.
Designed visual assets, branding materials, and digital media coverage for official student publications and events at Arab Open University.
Created digital media content and built community around ALX Voltra's mission through storytelling and innovation event coverage.
Designed high-quality visual assets, posters, and event branding adhering to official TEDx global visual identity guidelines.
Designed graphics and edited short-form videos; co-developed nationwide digital campaigns reaching 10,000+ viewers.
Selected as one of 9,362 global finalists out of 45,228 applicants for the global leadership fellowship founded by Harvard faculty.
Official student ambassador connecting university students with tech bootcamps, coordinating webinars and community initiatives.
Contributed to dynamic web software projects in React.js and practiced algorithmic problem solving in C++.
Interpersonal competencies refined across real-world internships, hackathon sprint leadership, and national student communities.
Translating ambiguous real-world challenges into structured machine learning workflows, measurable evaluation metrics, and verified data pipelines.
Leading technical student teams, guiding junior engineers through ML & Big Data bootcamps, and driving hackathon project delivery under pressure.
Collaborating across frontend, data engineering, and product stakeholders to ship interactive prototypes, cloud deployments, and verified architectures.
Representing global tech organizations (Microsoft Clubs, Huawei, Sprints, iCareer) to connect university students with technical bootcamps and career guidance.
Demystifying complex AI models, Big Data architectures, and system metrics for recruiters, technical peers, and non-technical stakeholders.
Continuously mastering cutting-edge tech stacks (GenAI, LangChain, Kafka, Cloud microservices) and transforming concepts into production deployments independently.
