Class of 2022
BS Computer Science
Minor: Mathematics

Aspiration Statement

I am primarily inclined towards socially developmental uses of advanced technologies like computer vision and machine learning. I currently fulfill that passion as the cofounder of Pakistan's first and largest accessibility-focused social enterprise, ConnectHear.

Core Skills

  • Machine Learning
  • Computer Vision
  • Time Series Analysis
  • Quantitative Research
  • Computational Linguistics

Academic Awards / Achievements

  • HU TOPS Scholar (Habib University's Talent Outreach, Promotion and Support Program)


Leadership / Meta-curricular

  • President, Computer Science and Engineering Club (2020)
  • 1st Runner Up, Invent for The Planet (2020)
  • President, Association for Scientific Progress in Research and Engineering (2018)

Internship / Volunteer Work

  • Cofounder/CTO — ConnectHear
  • Digital Media Consultant — American Councils for International Education
  • Attended Global Village — LeHigh University
  • Hackathon Team Leader — 23rd Asia Europe Foundation Summer University

Publications / Creative Projects

  • Machine Learning Model Optimization: Research paper (pending publication)
  • Efficacy on Quantum Machine Learning: Research paper (pending publication)
  • Comparative Analysis of Neuroevolution and Reinforcement Learning: Research paper

Final Year Project

Project Title

Zaamin: A real-time video analytics platform


With security cameras being installed nearly everywhere around us and the mind-blowing advancements achieved in the field of computer vision over the years, there is a wasted opportunity having to rely on human resource for watching over monitors when computer-vision models can not only do the job better, but can also be used for collecting actionable insights. Zaamin aims to bring to use the well-earned fruits of years of research in computer-vision to the local context of Pakistan. Zaamin is an Al-powered, video analytics system, capable of real-time object detection and tracking. It can effectively help humans make better decisions and keep spaces safe by automatically and autonomously analyzing the video streams in real-time and generating alarms and warnings when necessary as well as enabling post-processing investigation by making video footage searchable.