Asghar Ali

Academic

Career

Verbatim text

Asghar Ali
Cell: 923226746989 |  Email: asgharali23890@gmail.com
LinkedIn: https://www.linkedin.com/in/asghar18/
Address: 34-ALLAMA IQBAL TOWN, CHURCH ROAD, RAHIM YAR KHAN , Rahim yar khan , Pakistan
PROFESSIONAL PROFILE
Computer Science undergraduate and Full-Stack & React Native Developer with hands-on experience building scalable web and
mobile applications using modern technologies. Proficient in React, Next.js, Angular, and React Native, with strong backend
expertise in NestJS, Express, and database management using Prisma and MySQL. Experienced in deploying production-ready
systems using Docker, CI/CD pipelines, and cloud platforms, as well as integrating real-time features, media-processing solutions,
and mobile-native functionality. Demonstrated ability to work across the full development lifecycle, collaborate in team environments,
and deliver performant, maintainable software solutions.
EDUCATION
Bachelors of Computer Science
SEECS , Islamabad , 2.88 (2026)
INTERNSHIP EXPERIENCE
DevGate
17-Jun-2024 - 16-Aug-2024
• Developed and deployed the ”Bachat” web application, enabling users to pool money for committees, with a focus on dashboard
and new committee programs screens. • Utilized Next.js, TypeScript, Express.js, Tailwind CSS, and MongoDB to build robust and
scalable APIs, ensuring seamless integration across the application. • Led the frontend development of an Attendance System for
government employees, managing a team of 2, to deliver a high-quality, user-friendly application. • Collaborated closely with
backend engineers, ensuring smooth integration and adherence to project timelines in a MERN stack environment .
Enabling Systems
21-Jul-2025 - 29-Aug-2025
Implemented camera functionality using native Android code, integrating CameraX with React Native via native modules. Developed
and applied real-time camera filters, handling image processing and preview customization. Built a real-time communication app
using WebSockets, enabling efficient two-way data exchange. Focused on performance optimization, native–JS bridge
communication, and reusable React Native components.
FINAL YEAR PROJECT
Parhlai!
Parhlai is an AI-based web platform designed to assist students preparing for competitive entry tests such as NUST NET, MDCAT,
ECAT, and NUMS. Traditional preparation methods rely on expensive academies and static MCQ banks that do not adapt to
individual student needs. Parhlai aims to provide an affordable, accessible, and personalized alternative using artificial intelligence.
The system automatically generates syllabus-aligned MCQs from FSc textbooks using Natural Language Processing and fine-tuned
Large Language Models. Unlike static question banks, the platform adapts to syllabus changes and continuously personalizes
practice based on student performance. Key Features AI-generated and validated MCQs Chapter-wise practice, quizzes, and mock
tests Adaptive difficulty based on student performance Performance analytics and progress tracking Secure authentication and user
data protection System Architecture & Technologies Frontend: Modern web framework (React / Next.js) Backend: FastAPI Database:
MongoDB AI Pipeline: Encoder, Retriever, Generator, Validator Development Model: Incremental & Object-Oriented Impact Parhlai
reduces dependency on costly coaching centers and improves learning outcomes through personalized, data-driven preparation. The
platform is scalable and can be extended to additional entry tests and subjects in the future.
TECHNICAL EXPERTISE

AI enrichment