Applied Computing graduate building reliable data systems — from normalized schemas and optimized SQL to scalable Node.js backends and machine-learning pipelines in Python. Focused on data accuracy, database performance, and clean architecture.
I'm an Applied Computing graduate from Palestine Technical University – Kadoorie, with hands-on internship experience across software engineering and full-stack web development.
I've built and maintained production web applications with Node.js, TypeScript, Express.js, PostgreSQL and React — implementing backend features, database operations, authentication mechanisms and business logic inside real enterprise systems.
My centre of gravity is data: designing normalized schemas, writing and tuning SQL, indexing for performance, and cleaning "messy" real-world datasets with Pandas and NumPy so they're actually fit for analysis and modelling.
I care about data accuracy, database performance and scalable backend systems — and about writing code that the next engineer can read without a map.
Enterprise platforms, machine-learning research and data pipelines — built end to end.
Browse all repositoriesDesigned and optimized SQL queries, improved database performance and enforced data integrity across multiple production projects.
A Python toolkit for turning messy, incomplete real-world datasets into analysis-ready tables.
A comprehensive machine-learning project analyzing Steam game data through three distinct analytical approaches.
Research project developing and evaluating ML models that predict life-expectancy categories from noisy, real-world data.
Enterprise web application to manage and streamline internship and training programs across an organization.
Backend architecture for a subscription-based service management platform used by organizations to run their operations.
Depth in databases and data analysis, with working range across the backend stack. Highlighted items are my core strengths.
Continuous, verifiable learning across data engineering, analytics and full-stack development.
Coursework spanning database systems, data mining, software engineering, algorithms and web development — with capstone work in machine learning and enterprise system design.
Built and maintained web applications with Node.js, TypeScript, Express.js, PostgreSQL and React. Implemented backend features, database operations, authentication and business logic following modern development practices.
Currently completing the IBM Full Stack Software Developer and IBM JavaScript Backend Developer certificates alongside advanced data modeling coursework.
Open to database engineering, data analyst and backend developer roles — remote or relocating.
Actively looking for a role where I can own the data layer — schema design, performance tuning and the backend services that sit on top of it.
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