Zahra Kazmi

Full-Stack Developer | AI Research Enthusiast | Aspiring Systems Architect

Based in: Lahore, PakistanMost recently: Research Intern, Lahore University Of Management Sciences (LUMS)Experience: 1 year

Hire me

B.Sc. student at LUMS (2026) with a unique blend of full-stack development (MERN, FastAPI) and deep learning research. Experienced in building scalable financial tools at NETSOL and optimizing AI architectures at LUMS. Passionate about system optimization, mastering the product lifecycle, and thriving in mentorship-driven environments.

Experience

Research Intern

Lahore University Of Management Sciences (LUMS)Lahore, PakistaninternshipMay 2025 – Dec 2025

Summary

Conducted research on deep learning architectures for image segmentation, focusing on model optimization and performance evaluation using key accuracy metrics.

What I did

  • Developed and trained deep learning models for image segmentation tasks, generating high-quality segmentation masks from dataset images.
  • Implemented and compared multiple techniques and architectures to optimize model performance.
  • Evaluated models using key metrics to measure accuracy and segmentation quality.

Results

  • Optimized HitNet architecture for image segmentation on a novel, proprietary dataset.
  • Generated high-quality segmentation masks using optimized deep learning architectures.
  • Worked with a novel, proprietary dataset collected by the LUMS research team to train high-accuracy segmentation models.
PyTorchTensorFlowOpenCVScikit-learn

Software Engineer Intern

NETSOL TechnologiesworkJun 2025 – Jul 2025

Summary

Integrated internal financial APIs to build a reverse finance calculator, focusing on seamless user experience and scalable deployment.

What I did

  • Developed a reverse finance calculator that resulted in a more efficient process for users to determine loan amounts and terms based on a target monthly payment, significantly simplifying complex financial decisions.
  • Containerized and deployed the application, resulting in a stable and scalable environment that supported smoother development cycles.

Results

  • Developed a reverse finance calculator that simplified complex financial decisions.
  • Successfully containerized and deployed the application for improved scalability.
FastAPIReactPostgreSQLDockerAWS

Skills

Technical

PythonPython
C++C++
JavaScriptJavaScript
HitNet
MERN Stack
FastAPIFastAPI
HTMLHTML
CSSCSS
PyTorchPyTorch
TensorFlowTensorFlow
GitGit
Machine Learning
Deep Learning
ReactReact
DockerDocker
Advanced Programming
CC
Scikit-learn
Software Engineering
AWS
OpenCVOpenCV
PostgreSQLPostgreSQL
Introduction to AI
MATLAB
Jinja Templates
Haskell

Projects

Food Delivery Application

personal
Developed a full-stack food delivery app using the MERN stack, implementing user authentication, cart functionality, order tracking, and dynamic restaurant menus to enhance user experience.
MongoDBExpressReactNode.jsMERN Stack

Multiplayer Connect-X Tic Tac Toe Game

personal
Built a real-time two-player game with the MERN stack and Socket.IO. Implemented turn-based logic, room handling, and a custom win-detection algorithm for dynamic patterns (Connect-X).
MongoDBExpressReactNode.jsMERN StackSocket.IO

Education

B.Sc.

Lahore University Of Management Sciences (LUMS)Computer ScienceGPA 3.62026

What drives the work

Motivations

  • Mentorship
  • Technical Growth
  • Scalability Challenges

Objectives

  • To become a Full-stack Software Engineer specializing in system optimization and production lifecycle management.

Principles

  • Continuous Learning
  • Collaboration
  • Technical Excellence
  • Mentorship
Hire ZahraReach out about a role, a contract or a conversation.For recruiters

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

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