Maha Shabbir
Based in: Lahore, PakistanMost recently: Directed Course Work - Data Annotation, Center of Speech and Language Technologies (CSaLT)Experience: 1 year
Experience
Directed Course Work - Data Annotation
Technical Content Writing Intern
Research Intern
Summary
Results
- Identified a critical 'incentive gap' in digital migraine reporting, discovering that users were significantly more likely to report symptoms verbally than via the app due to a lack of perceived benefits.
- Managed 7 concurrent patient journeys, conducting qualitative user research through personal onboarding and direct feedback sessions to identify systemic UX flaws.
- Proposed a value-driven incentive model (predictive findings) to the R&D team to improve long-term app engagement after identifying real-time dashboard synchronization issues.
- Identified key UX flaws in real-time dashboard updates and data synchronization
- Triangulated backend Excel data with direct user feedback to identify reporting trends
Skills
Technical
Areas of expertise
Projects
CS 460: Human-Computer Interaction - Decluttering App
CS 437: Deep Learning - Petroglyph Object Detection
OS Kernel File System Implementation
CS 360: Software Engineering - University Tutoring Platform
CS 334: Principles and Techniques of Data Science - Student Social Media Addiction Analysis
Education
BS Computer Science
Coursework
Societies & activities
High School Diploma
Recognition
Awards
Dean’s Honor List 2023 - 2025
Merit Scholarship Recipient 2025 - 2026
Governance & advisory
Director of Logistics
Coordinated coding camps, panels, and events, including Women in Tech Fest, the largest society-led, women-only tech event in Pakistan, engaging 100+ students across high schools and universities. Streamlined operational processes for the society, enhancing efficiency and overall organization.
Maha's twin is AI, it can make mistakes.
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