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Abdullatif

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Abdullatif

Computer Science Student | Software Engineering & Data Science

What I can build.

Software Engineering
I design and build reliable software systems end-to-end; from backend services and APIs to interactive frontends. My work emphasizes clean architecture, scalability, and maintainable code.
01
Data Science & Machine Learning
I work with data to extract insight and build predictive systems, covering data cleaning, exploratory analysis, feature engineering, and model development with a focus on interpretability.
02
Data-Driven Systems & Automation
I engineer automation pipelines that connect data, infrastructure, and software; improving reliability, reducing manual effort, and enabling scalable workflows in cloud environments.
03
Beyond the Screen
When I’m not coding, you’ll probably find me on a football pitch. Always down for a game; it’s my favorite way to reset.
04

Things I’ve Built.

Skills I use.

Skill Stack
Tools I ship with across projects.
core
Filter by category
Skills
Python
R
Java
SQL
C
C++
React
JavaScript
HTML
CSS
Flask (Python)
REST APIs
Firebase / Firestore
MongoDB
Pandas
NumPy
Data Visualization
Feature Engineering
Model Evaluation
Data Pipelines
Google Cloud Platform (GCP)
BigQuery
AWS
Git / GitHub
Figma
Testing & Debugging

How I build systems.

I start problem first. Before choosing tools, I define what success looks like in measurable terms, map constraints, and identify the changes that impact.
If it runs daily, it should not depend on humans. I turn repeated work into scheduled workflows that validate outputs, generate reports, and surface issues early.
A system should explain itself. I build observability into the workflow with clear logging, validation checks, and outputs that make failures obvious and recoverable.
I build for change. I keep systems modular, interfaces clean, and handoffs easy, so a project can evolve without needing a rewrite every time requirements shift.

Let’s connect.

Recruiters + collaborators: these are the fastest links to the real work.