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Fizza Rubab
Aspiration Statement
I am passionate about machine intelligence, including its algorithms and applications. My goal is to gain a deep understanding of how these technologies work and to implement AI-driven solutions to address the societal challenges we face.
Core Skills
- C++
- Data Science
- Machine Learning
- Critical Thinking
- Management
- Python
- Technical Writing
Academic Awards / Achievements
- Dean’s List, Fall 2022
- Dean’s List, Spring 2022
- President List, 2021
- Dean’s List, Fall 2021
- Dean’s List, Spring 2021
- Dean’s List, Fall 2020
Experience
Leadership / Meta-curricular
- Graphics Lead, Google Developer Student Club
- Python Teaching Volunteer, Aga Khan School, Garden
- Designer, Code Game Competition
- Composting Volunteer, Sustainability Club
- Designer, Natural Science Club
Internship / Volunteer Work
- Open-source Contributor, Google Summer of Code (June 2022 – September 2022)
- Backend Intern, Securiti (June 2022 – July 2022)
- Information Security Intern, Bank Islami Private Limited (June 2021 – August 2021)
- Software Engineer, AKS iQ
- Virtual Research Intern, Empathic Computing Lab
Publications / Creative Projects
- Project under publication on “Poet Attribution of Urdu Ghazal Poets using Deep Learning”
Final Year Project
Project Title
PLSP Lifesavers: An Emergency Mobile Application for Mobilization of Lifesavers Trained Under AKU's Flagship PLSP Program
Description
Cardiac arrest and excessive bleeding are some of the most prevalent causes of death in Pakistan. The Pakistan Life Savers Program (PLSP) is a youth empowerment project that aims to train ten million Pakistani citizens in basic life-saving skills such as CPR and bleeding control. However, currently, the PLSP program lacks a method to bridge the gap between those in need of first aid and the lifesavers nearby. In collaboration with Aga Khan University, we have undertaken a project to mobilize lifesavers to the location of an emergency in their neighborhood using a mobile application. The application will serve as a communication channel between help-seekers and PLSP-trained lifesavers, allowing them to notify and alert nearby lifesavers, track their location, and receive prompt help.