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ARHUM ISHTIAQ
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)
Experience
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
Description
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.