Abdullah Zahid

Software Engineer

Talent

LahoreMember since July 29, 2026

JavaScript (ES6+)TypeScriptPythonC++React.jsReact NativeNext.jsHTML5CSS3ReduxNode.jsExpress.jsFastAPIFlaskREST API DesignMongoDBMS SQL ServerFirebasePostgreSQLGitGitHubAWSVS CodePostmanOOPAgile/ScrumCI/CDMachine Learning Basics

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JavaScript (ES6+)TypeScriptPythonC++React.js

About

Computer Science graduate from UET Lahore (GPA: 3.6/4.0) with hands-on experience building and shipping full-stack web and mobile applications. Independently designed, built, and deployed a live React Native app to the Google Play Store with active users. Experienced with REST API design, Firebase, MongoDB, and MS SQL Server, Next Js and comfortable in Agile/Scrum workflows with a track record of delivering scalable, production-grade software.

Strong interest in machine learning, having built and deployed an AI-integrated detection platform and contributed to ML data pipelines in a professional setting.

Experience

Full Stack Developer (Sole Developer) - Wali Villas - Toba Tek Singh, Pakistan

(2025-06)

Services Management App

Designed and built a production-grade React Native + TypeScript mobile app from scratch, owning the full product lifecycle — architecture, development, and Play Store deployment.
Integrated Firebase Authentication with role-based access control for resident and admin workflows, enabling secure, scoped access across the platform.
Built RESTful APIs with Node.js to handle service request management and complaint tracking modules, currently in use by real active users.
Managed the complete CI/CD and deployment pipeline; published on Google Play Store and shipped multiple iterative releases based on user feedback.

Full Stack Engineer (Internship) - SOCO Engineers (in collaboration with IDEAL Labs) - Remote | Lahore, Punjab

(2025-08 - 2026-04)

Collected, cleaned, and structured large engineering datasets for ML training pipelines, directly contributing to model accuracy on a cross-disciplinary ML and Mechanical Engineering project.
Prepared domain-specific training data in coordination with engineering stakeholders, gaining hands-on exposure to end-to-end machine learning workflows and data preprocessing.
Worked cross-functionally alongside senior engineers, consistently delivering formatted datasets on schedule within Agile sprint cycles.