Zainab Shahzad

Zainab Shahzad

Software Engineering Student & Aspiring Web Developer

LahoreBachelors
Available immediately Open to any modeSoftware & IT

Bachelors student with experience in full-stack development and QA. Proven success in automating tasks and building high-performance web and AI applications.

About

Software Engineering student with strong skills in web development, problem solving, and software quality assurance. Experienced in building reliable, user-friendly applications while ensuring functionality, performance, and code quality. Seeking opportunities to contribute to innovative projects and grow technical expertise.

Skills

CC++C#PythonJavaScriptPHPKotlinReactASP.NETHTMLCSSBootstrapSQLMySQLSQL ServerOracleSeleniumCypressPlaywrightSonarQubeOWASP ZAPPostmanGitGitHubAndroid StudioFigma

Education

BS Software Engineering

PUCIT

09/2023 – Present

Intermediate

Punjab Group of Colleges

2021 – 2023

Experience

Web Development Intern · Honda Atlas Cars Pakistan Limited (HACPL)

07/2025 – 08/2025

Developed a dynamic website using React, PHP, and MySQL for 1000+ internal users. Automated routine tasks reducing manual work by 30%.

Teaching Assistant · University of The Punjab

09/2024 – Present

Assisted in Software Project Management, Re-engineering, and Applied Physics coursework for over 200 students across 4 semesters.

Projects

ZNSA-Couture (Fashion Studio)

Developed an ASP.NET MVC web application featuring user/admin modules and real-time communication with SignalR.

Speech Emotion Recognition System

ML/DL system achieved 88% accuracy using models like XG Boost and RNNs trained on the TESS dataset.

Game Leaderboard and Achievement Services

Event-driven architecture system processing 1,000+ score events with <50ms latency using Command and Observer patterns.

E-book Management - Quality Engineering Audit

Validated application functionalities using Selenium and Cypress, executing 120+ test cases with 95% automation coverage.

GradMatch-AI

AI job portal using NLP to rank candidates with 92% matching accuracy, reducing manual placement effort by 60%.

FIXORA

Home service mobile app built with Kotlin for Android, including a Figma UI/UX prototype and 85% crash-free sessions.

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