Muhammad Ibad

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Muhammad Ibad

Towfiq Chinoy & Family HU TOPS Scholar

Graduate of 2026
BS Computer Science

Aspiration Statement

I am motivated to develop software and AI systems that drive meaningful social impact in Pakistan, while also pursuing research at the intersection of technology and real-world applications.

Core Skills

  • Angular + ASP.NET Core
  • C++
  • Deep Learning
  • Next.js
  • Python

Core Competencies

  • Agility

Preferred Career Paths

First priority: AI Engineer

Second priority: Software Developer

Third priority: Data Scientist

Academic Awards / Achievements

  • Dean's List 2023, 2024, 2025
  • High Achievement Scholarship 2024
  • President's List 2024

Experience

Leadership / Meta-curricular

  • Orientation Leader
  • General Secretary, Math Club
  • Deputy Directorate Security, Humun
  • Registration Team Member, Hucon
  • Right and Advocacy Cabinet Member, Habib University Student Government

Internship / Volunteer Work

  • Associate Software Engineer, Tps Worldwide (December 2025 – June 2026)
  • Analysis Intern (Remote), Liberty City Ventures, Usa (July – August 2025)
  • Student Researcher (Strp, Pjd-Qna), Habib University (June 2024 – May 2026)
  • Teaching Assistant, Habib University (August 2023 – May 2026)

Publications / Creative Projects

  • Research Paper – Research Paper on Classifying Pakistan's Diverse Languages published in 4th International Conference on Communication, Computing and Digital Systems in 2025
  • Research Paper – Research Paper on Evaluating Data Retrieval and Quality in Pakistani High Court Systems published in 7th International Conference on Advancements in Computational Sciences in 2026

Final Year Project

Project Title

Design to Code with Knocks

Description

Design to Code with Knoccs is a final-year CS project that addresses the costly disconnect between UI design and software development in SpurSol's CRM platform, Knoccs. The project pursues two parallel goals: first, building an automated pipeline that converts Figma designs into production-ready Angular code using Claude and Figma MCP, eliminating manual design-to-development handoff; second, implementing a Retrieval-Augmented Generation (RAG) knowledge base that lets users query Knoccs documentation intelligently using semantic search and LLM-generated answers. Practical validation comes through two implemented features, Tag Management and Macro Management, generated using the new component library. Expected benefits include significantly reduced development time, greater design-code consistency, fewer hallucinations via grounded retrieval, and a scalable foundation for future AI-driven automation within the platform.

Project Pictures