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HIJAB FATIMA
Aspiration Statement
I aspire to work in AI and backend development, leveraging my passion for coding and algorithms. With strong math skills, I aim to contribute to ethical AI, and innovation.
Core Skills
- Python, PyTorch, PERN, MERN, Docker, ROS2, NAV2
Academic Awards / Achievements
- President's List 2022, 2023, 2024 Dean's List Spring & Fall 2022, Spring & Fall 2023, Spring & Fall 2024 High Achievement Scholarship in Fall 2023
Experience
Leadership / Meta-curricular
- PR Lead for Habib University Sustainability Club President's List for consecutive years: 2022, 2023, 2024 Top performing Student employee for Algorithmic Problem solving
Internship / Volunteer Work
- Backend Intern, Securiti.ai (June 2024 Aug2024) Teacher Assistant for Algorithm Problem Solving, Habib University (Aug2023 Dec 2023) Student Researcher, Habib University (June 2023 Dec 2023) Teacher Assistant for Object-oriented Programming Learning Community mentor, Habib University (August 2024 Dec2024)
Final Year Project
Project Title
Toyota's Autonomous Tow truck
Description
Our interdisciplinary project focuses on automating the tow trucks used at Indus Motor Company for Toyota car production. A team of CS, EE, and CE students is developing a self-driving tow truck to enhance industrial efficiency and reduce accidents caused by human error. This project aligns with global trends in industrial automation, yet it is locally developed, pioneering automation in Pakistan's manufacturing sector. By integrating ROS2, Nav2, Docker, C++, Python, and advanced algorithms, we are creating a robust autonomous system capable of precise navigation and obstacle avoidance. The project contributes to safer, more efficient industrial operations, reducing downtime and dependency on human drivers. Its successful implementation can pave the way for broader automation in Pakistan's industries, boosting technological advancement and economic growth. This hands-on experience in robotics, AI, and embedded systems provides valuable technical exposure while addressing real-world industrial challenges.