Rahima Saleem

Rahima Saleem

Full-stack Engineer & Computer Engineering Student

LahoreBachelors
Available immediately Open to any modeSoftware & IT

Full-stack engineer with production experience in SaaS and LMS platforms. Expert in React, Node.js, and Python with a 3.94 CGPA in Computer Engineering.

About

Full-stack engineer with production experience in SaaS platforms, role-based systems, and real-time data pipelines. Skilled across the stack, from REST API design and database architecture to responsive frontends, with a track record of shipping complete, multi-module systems under real constraints.

Skills

PythonJavaScriptC++C#JavaSQLReactFastAPINode.jsFlutterDockerLinuxGitGitHubJiraPostgreSQLMySQLSupabaseMongoDBSQL ServerSaaS ArchitectureREST APIsFull-Stack EngineeringContainerizationReal-Time Systems

Education

B.Sc. Computer Engineering

University of Engineering and Technology (UET)

Sep 2023 – Present

Experience

Software Engineer Intern · Computer Engineering Department, UET

Nov 2025 – Apr 2026

Architected a multi-tenant SaaS fleet management platform with RBAC, scalable REST API backend, and 4 production modules. Followed Agile practices with iterative releases and faculty-supervised code reviews.

Full-Stack Development Intern · Blessed Islamic Grammar School

Aug 2025 – Sep 2025

Delivered a role-based LMS for 290+ users with 3 dashboards and 6 modules. Integrated Google OAuth 2.0 for institution-wide SSO.

IT Support & Web Management Intern · UET Alumni Office

Jul 2025 – Aug 2025

Maintained the alumni WordPress site and performed data verification across 3 internal systems (LMS, UMS, term system).

Projects

Fleet Management System

Multi-tenant SaaS with real-time GPS tracking, dynamic geofencing with breach alerts, and subscription lifecycle management using React.js and Node.js.

Learning Management System

Full-stack LMS for 290+ users with 3 role-based dashboards and 6 functional modules using Flask and PostgreSQL.

Voice-Controlled AI Assistant

Real-time voice pipeline executing system-level commands and live web queries via Python speech recognition and TTS.

Soil Moisture Detection System

Hardware-software sensor system for soil hydration monitoring using LM393 Comparator and Arduino.

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