Mannan Muhammad Rangoonia

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Mannan Muhammad Rangoonia

Graduate of 2026
BS Computer Science

Aspiration Statement

I began with machine learning projects, which sparked my interest in AI and led me to explore large language models, the field I am most interested in pursuing further professionally.

Core Skills

  • C++
  • Data Analytics & Machine Learning
  • Problem Solving & Design
  • Python
  • Web Development and UI/UX Design

Preferred Career Paths

First priority: AI & ML Engineer

Second priority: Data Scientist

Third priority: AI Solutions Architect

Academic Awards / Achievements

  • High Achievement Scholarship 2023, 2024, 2025, 2026

Experience

Internship / Volunteer Work

  • Software Engineering Trainee, Folio3 (September 2025 – May 2026)

Final Year Project

Project Title

AICruit

Description

AICruit is an intelligent recruitment management system designed to automate and optimize candidate screening and interviewing. The platform can parse and analyze hundreds of resumes within minutes, automatically shortlisting candidates based on predefined criteria. It then conducts AI-powered interviews with selected applicants and integrates real-time proctoring to ensure fairness and authenticity during evaluations. During development, our team conducted benchmarking across multiple large language models to evaluate their performance in resume analysis and interview question generation. We constructed an evaluation dataset using assessments from the HR department at Folio3 as the ground truth. Based on these results, we selected the most effective models and applied prompt engineering techniques to build an efficient system that delivers strong performance while minimizing operational costs.

Project Pictures