Muhammad Zain Naseer

Full-Stack & Backend Developer

Email: 26100378@lums.edu.pk

Phone: +92 314-422-5224

About Me

I’m a Computer Science student at LUMS with hands-on experience building scalable full-stack and backend systems. I’ve worked on production SaaS products, AI-integrated platforms, and real-time applications — from architecting Redis-based job orchestration to leading full-stack development of a physician-focused diagnostic tool.

Currently seeking new grad Software Engineering roles where I can build impactful, production-ready systems.

Core Skills: Node.js · React · MongoDB · PostgreSQL · Redis · Python · PyTorch · GraphQL · WebSockets · Docker · JWT · REST APIs · Flutter

Experience

Attributter (Market Pro)

Backend Developer

July 2025 – Present · Remote

Marketing Attribution SaaS connecting LinkedIn Ads and HubSpot CRM.

  • Architected backend infrastructure using Node.js, Express.js, MongoDB, and PostgreSQL with comprehensive error handling and automated testing.
  • Engineered Redis-based job orchestration system enabling non-blocking daily synchronization of 10,000+ companies across multiple users (50 API calls per sync cycle).
  • Implemented token bucket rate limiter and built scalable RESTful APIs with JWT authentication and production-ready deployment pipelines.

AI in Healthcare Initiative (AIHI)

Full-Stack Developer · Part-time

March 2025 – August 2025 · Lahore, Pakistan

Physician-focused AI diagnostic platform.

  • Led full-stack development of SensAI, integrating Google Gemini AI for real-time audio transcription using React and GraphQL.

Imaginary Studio

Game Development Intern

June 2024 – July 2024 · Lahore, Pakistan

  • Contributed to mobile game development, gaining hands-on experience with game design, mechanics implementation, and collaborative studio workflows.

Projects

HerSafar — Voice-First Ride-Sharing Platform

GitHub

Funded by LUMS Gender Initiative Grant · Node.js · Flutter · Google Cloud · MongoDB

  • Developing a voice-first mobile app for low-literacy female commuters, integrating Google Gemini AI for Urdu voice transcription and NLP.
  • Architecting scalable backend with Node.js and Flutter for multimodal interactions including SOS alerts and real-time ride matching, deployed on Oracle Kubernetes Engine.

UstaadOnline — Full-Stack Tutoring Platform

Live Demo

React · Node.js · MongoDB · WebSockets · JWT

  • Built a full-stack tutoring platform with JWT authentication, role-based access control, and automated scheduling with calendar integration.
  • Implemented real-time communication via WebSockets for live tutoring sessions and designed RESTful APIs for user management, session booking, and tutor-student matching.

Urdu News Classifier

Python · PyTorch · BeautifulSoup · TF-IDF · NLP

  • Scraped 1,000+ Urdu news articles from Geo, Express, and Jang using BeautifulSoup, building a labeled corpus across 5 categories.
  • Implemented 3 classifiers from scratch (PyTorch Neural Network, Logistic Regression, Naive Bayes) — NN achieving 96% test accuracy with TF-IDF + dropout.

Darbaar — Real-Time Multiplayer Game

Live Demo

React · Node.js · Socket.IO · MongoDB

  • Built real-time multiplayer game with strategic voting mechanics using Socket.IO for seamless player communication across concurrent game rooms.
  • Deployed full-stack application on Vercel ensuring low-latency interactions.

Education

Lahore University of Management Sciences (LUMS)

B.S. Computer Science

September 2022 – Present

Relevant Courses: Software Engineering · Machine Learning · Artificial Intelligence · Computer Vision · Distributed Systems · Data Structures & Algorithms · Databases · Operating Systems

A Little More About Me

Languages & Frameworks: Python, JavaScript, TypeScript, Node.js, React, Flutter, Express.js, GraphQL, PyTorch, Scikit-learn

Databases & Infrastructure: MongoDB, PostgreSQL, Redis, Docker, Kubernetes, Oracle Cloud, Vercel

Tools: Git, GitHub, Figma, WebSockets, Socket.IO, JWT, REST APIs, Google Gemini AI

Outside of code, I enjoy building things that solve real problems — especially for underserved communities. HerSafar is a project I’m proud of for exactly that reason.