Hafsah Nasir

Human-Centered AI Architect | CS @ LUMS | Building Scalable, Bilingual AI Tools

Based in: Lahore, PakistanMost recently: Convenor, PsiFi XVII – SPADES, LUMS

Computer Science student at LUMS specializing in Human-Centered AI and scalable system design. From leading Pakistan’s largest science olympiad (PsiFi) to building bilingual AI learning companions for low-SES classrooms, I bridge the gap between complex technical logic and real-world user needs. Experienced in ML automation, full-stack development, and leading high-impact teams.

Experience

Convenor

PsiFi XVII – SPADES, LUMSLahore, PakistanvolunteerJul 2025 – 2026

Summary

Led Pakistan’s largest national science olympiad with 1,500+ participants, 120+ institutions, and an 80+ member organizing team. Implemented crisis-management systems and workflow automation, delivering record engagement and 35,000+ online reach.

Results

Delivered record engagement and 35,000+ online reach.

Workflow AutomationCrisis-management systems

Machine Learning Intern

OrbinLahore, Pakistanwork2025 – 2025

Summary

Built an AI-assisted automation pipeline to stitch multiple drone-captured panorama images into a single high-resolution composite, applying image alignment, feature matching, and stitching logic. Improved robustness for noisy drone imagery by handling overlap inconsistencies and perspective variation, applying computer vision and ML concepts to a real-world geospatial imaging problem.

Results

Built an automated pipeline to align and merge batches of ~20 overlapping drone images into seamless high-resolution composites with ~90% stitching accuracy.
Strengthened pipeline robustness against exposure differences, perspective distortion, and overlap inconsistencies using feature detection, keypoint matching, and homography-based warping.
~90% stitching accuracy on batches of 20+ images

Computer VisionFeature DetectionKeypoint MatchingHomography-based WarpingImage StitchingPython

Lead Coordinator

Startup Weekend LahoreLahore, PakistanvolunteerOct 2023 – Feb 2024

Summary

Led a 30-member team to execute a 54-hour Startup Weekend in collaboration with Google for Startups and Techstars. Directed branding and program flow, achieving 2× social media growth and a seamless, high-impact participant experience.

Results

Achieved 2× social media growth.

Branding

Skills

Technical

AI Coding Tools (Claude Code, Codex)

React

TypeScript/JavaScript

Rapid Prototyping

Human-Centered Design

Figma

HTML & CSS

Qualitative User Research

Python

C++

Java

Firebase

Git

NumPy

pandas

Usability Testing

GitHub Actions

SQL

PyTorch

Projects

Suicide Rate Analysis & Prediction (Data Science)

Data Analystacademic

Analyzed 30+ years of data across 180+ countries (WHO, World Bank, UNDP HDI) to test how economic crises affect suicide rates, building regression models and running hypothesis tests in Python (pandas, NumPy, statsmodels, scipy). Found high inflation a significant predictor of rising rates two years later (p = 0.003).

PythonpandasNumPystatsmodelsscipy

Cosmos Discovery – Campus Event Platform (Android)

Lead Backend & Recommendation Engine Developerpersonal

Owned the event services and Discover feed, implementing event creation/management and a real-time RSVP flow over Firestore snapshot listeners with optimistic updates and rollback on failure. Designed and built the content-based recommendation engine that ranks events by category and tag overlap with each student's RSVP history, with exclusion rules and a popularity-based fallback. Backed by JUnit and Espresso tests and a GitHub Actions CI pipeline.

AndroidJavaFirebase AuthFirestoreCloud FunctionsJUnitEspressoGitHub Actions

View the code

Seekho Sikhao – AI Learning Companion (HCI, CS466)

Lead Designer & Developerpersonal

Led the human-centered design lifecycle for a bilingual (Urdu/English) AI tutoring tool for low-SES Pakistani classrooms, running focus groups, teacher interviews, and task-based field sessions, then translating findings into system requirements. Designed the UI/UX, including voice-enabled Urdu responses and a split-screen workbook that prompts students to attempt problems before revealing scaffolded hints, iterating through paper, Figma, and React prototypes. Built the Wizard-of-Oz testing prototype (TypeScript/React, deployed on Vercel), driving development with AI coding tools (Claude Code, Codex) via structured Markdown specs and context/memory management.

TypeScriptReactVercelFigmaClaude CodeCodexMarkdownAI Coding Tools

Visit the site View the code

ThriftHub: Database-Backed Marketplace System

Database Designer & Backend Developerpersonal

Designed and implemented a complete relational database system for a campus thrift marketplace, including ER diagrams and schema normalization. Developed the backend logic for user management, product listings, transactions, and search functionality.

SQLRelational Databases

Education

Bachelor of Science

LUMSComputer ScienceGPA 3.182027

Coursework

Human-Computer InteractionMachine LearningPrinciples & Techniques of Data ScienceAlgorithmsData StructuresDatabasesOperating SystemsNetwork-Centric ProgrammingNetwork Security

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