Maha Shabbir

CS at LUMS | HCI Researcher bridging the gap between Deep Learning & Human-Centered Design

Based in: Lahore, PakistanMost recently: Directed Course Work - Data Annotation, Center of Speech and Language Technologies (CSaLT)Experience: 1 year

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Computer Science student at LUMS with a focus on Human-Computer Interaction and Deep Learning. Experienced in conducting qualitative user research for health-tech applications and developing novel object detection models for archaeological data. Proven leader in logistics and community building within the tech space, currently seeking to apply HCD principles to cutting-edge research.

Experience

Directed Course Work - Data Annotation

Center of Speech and Language Technologies (CSaLT)work2026 – May 2026
Supported research in the CSaLT lab by analyzing, categorizing, and contextualizing data according to cultural relevance and contextual fit within a Pakistani setting.

Technical Content Writing Intern

Dtech SystemsinternshipMay 2025 – Aug 2025
Researched and authored a series of technical blog posts and guides explaining a complex SaaS platform to diverse audiences, from non-technical users to business decision-makers.
SaaS

Research Intern

Center of Speech and Language Technologies (CSaLT)workOct 2024 – May 2025

Summary

Collected and analyzed migraine-related data to identify patient trends while evaluating app functionality and user engagement, providing actionable feedback to the R&D team to improve data quality and feature development.

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

Data Analysis
FigmaFigma
PythonPython
C++C++
CC
Technical Content Writing
Human-Computer Interaction
JavaScriptJavaScript
Deep Learning
Firebase FirestoreFirebase Firestore
Data Annotation
Kaggle
Solidity

Areas of expertise

Logistics Coordination

Projects

CS 460: Human-Computer Interaction - Decluttering App

UX Designer/Researcherpersonal
Developed a user-centered decluttering app by conducting user research interviews, creating iterative prototypes, and performing usability testing to validate design decisions and improve user experience.
Figma

CS 437: Deep Learning - Petroglyph Object Detection

Developerpersonal
Developed a novel deep learning approach for petroglyph object detection on images from Pakistani archaeological sites by adapting a Soft Teacher semi-supervised model.
Python

OS Kernel File System Implementation

Developeracademic
Implemented a hierarchical file system within a custom kernel, managing nested directories, file partitions, and block-level storage.
C++C

CS 360: Software Engineering - University Tutoring Platform

Developeracademic
Built a full-stack university tutoring platform enabling students to find and book tutors with features including live leaderboards, badge rewards, shared resources, and integrated scheduling.
JavaScriptFirebase FirestoreFigma

CS 334: Principles and Techniques of Data Science - Student Social Media Addiction Analysis

Data Scientistacademic
Explored a student social media addiction dataset through EDA, PCA, clustering, and machine learning techniques to identify key behavioral patterns and predictors of addiction scores across 700+ students.
PythonKaggle

Education

BS Computer Science

Lahore University of Management SciencesComputer ScienceGPA 3.9Sep 2023

Coursework

Software EngineeringPrinciples and Techniques of Data ScienceDeep LearningHuman-Computer Interaction

Societies & activities

LUMS Women in Computing Society (LWiC)

High School Diploma

Al Faris International SchoolGPA 4Jun 2023

Recognition

Awards

Dean’s Honor List 2023 - 2025

Lahore University of Management Sciences2025

Merit Scholarship Recipient 2025 - 2026

Lahore University of Management Sciences2025

Governance & advisory

Director of Logistics

LUMS Women in Computing Society (LWiC)other2024 – Present

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.

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Maha's twin is AI, it can make mistakes.