Hi, I'm
I build complete web applications front to back, ML models that find signal in messy data, and run the Linux/Git DevOps pipelines that get real projects into production.
Hi, my name is Abubakar Jalil, a Data Science student at UET Lahore, a full-stack developer, and a DevOps intern — I build complete web systems end to end, train ML models that find signal in messy data, and run the Linux/Git workflows that keep real applications deployable.
A comprehensive overview of the tools I use across data science, DevOps, and full-stack development.
A selection of projects that showcase my range across applied data science, DevOps, and full-stack systems.
A full airline management platform built with Python Flask — secure authentication, flight booking, an admin dashboard, passenger management, and SQLite-backed data.
A full-stack book store web app built on the MERN stack — React front end with client-side routing (browse, create, edit, delete, view book details), an Express + Mongoose REST API, and MongoDB storing book records (title, author, publish year).
CodeAlpha Data Science internship deliverables — Iris flower classification with SVM, exploratory analysis of Indian unemployment trends, and a COVID-19 lockdown impact visualization.
Console-based Python application that manages hotel rooms and customer records using structured file handling — no database, all logic.
Built as part of the DecodeLabs DevOps internship — a Git repository demonstrating a full branching and merge workflow, alongside structured Linux directory projects.
A clean, responsive static site for clinics and small hospitals to showcase services, doctors, and an appointment booking flow.
A showroom front-end for browsing and presenting vehicle listings — clean layout, product-style presentation, fully responsive.
A console-based text editor in Python — insert, edit, delete, and replace lines through a menu-driven interface, built to demonstrate core data structure operations.
I follow a structured approach that borrows from both the data science pipeline and DevOps discipline — from raw data to a deployed, maintainable system.
Understand the problem, clean the dataset, and run exploratory analysis to find the real signal.
Build and evaluate models, or design the system architecture and interfaces.
Develop the application and set up Git workflows for clean, collaborative shipping.
Ship it on real infrastructure and keep it reliable — the Linux/DevOps half of the job.
Let's Build Something
Whether it's an internship, a full-time role, or freelance work — tell me what you're building and I'll get back to you.