Muhammad.

Muhammad Zain Naseer

Full-Stack SWE | Node.js, React, Flutter | LUMS CS '26

Overview

Backend-focused full-stack engineer and final-year LUMS CS student with production experience. At Attributter, I engineered a Redis/BullMQ orchestration system in Node.js/PostgreSQL syncing 10,000+ companies daily with a token bucket rate limiter and JWT-secured REST APIs. Shipped AI-for-social-impact products including HerSafar (grant-funded voice-first ride-sharing), SensAI (AI diagnostic tool cutting documentation time ~50%), and UstaadOnline. Seeking full-time SWE roles starting mid-2026.

Lahore, Pakistan

Experience

Jul 2025 – Apr 2026

WORK

Backend Developer

Attributter (Market Pro)

Remote

Architected and scaled backend infrastructure for a SaaS marketing attribution platform, focusing on high-concurrency job orchestration and CRM integrations.

•Architected backend infrastructure for SaaS marketing attribution platform connecting LinkedIn Ads and HubSpot CRM using Node.js, Express.js, MongoDB, and PostgreSQL.

•Engineered a Redis/BullMQ-based job orchestration system enabling non-blocking daily synchronization of 10,000+ companies and ad campaign deals through parent-child API call chaining (50 API calls per sync cycle).

•Implemented a token bucket rate limiter to manage API throughput and ensure system stability.

•Built scalable REST APIs with JWT authentication, data validation middleware, and production-ready CI/CD pipelines using Docker and GitHub Actions on Hetzner.

Node.jsExpress.jsMongoDBPostgreSQLRedisBullMQJWTDockerGitHub ActionsHetzner

Mar 2025 – Aug 2025

WORK

Full-Stack Developer

AI in Healthcare Initiative (AIHI)

Lahore, Pakistan

Led full-stack development of SensAI, a physician-focused diagnostic platform integrating Google Gemini AI for real-time audio transcription during patient consultations. Built the frontend with React and GraphQL to handle real-time data streams, and architected the backend on AWS DynamoDB with Auth0 authentication, ensuring HIPAA-aligned data handling for sensitive patient information. Advisor: Dr. Basma Ali (LUMS, Harvard Medical School).

•Led full-stack development of SensAI, a physician-focused diagnostic platform integrating Google Gemini AI for real-time audio transcription, built with React and GraphQL.

•Architected backend on AWS DynamoDB with Auth0 authentication, ensuring HIPAA-aligned data handling for sensitive patient information.

•Designed a filtering layer that extracts critical medical data (medications, dosages, symptoms) from unstructured physician-patient dialogue, improving medication-history capture for cases patients struggled to recall.

•Conducted usability testing with practicing physicians, iterating on real-time feedback mechanisms; preliminary testing showed ~50% reduction in documentation time per consultation.

Key Achievements

→Designed a filtering layer that extracts critical medical data (medications, dosages, symptoms) from unstructured physician–patient dialogue, improving medication-history capture.

→Integrated Google Gemini AI for real-time audio transcription, automating medical note generation with ~10 seconds processing time per consultation.

→Iterative usability testing with practicing physicians reduced documentation time by ~50% per patient visit.

ReactGraphQL

Feb 2026 – May 2026

WORK

Teaching Assistant — Business Analytics & Data Science (FBR)

Rausing Executive Development Centre (REDC), SDSB-LUMS

Lahore, Pakistan

Selected as TA across three consecutive batches of the 3-week intensive certification programme for Federal Board of Revenue (FBR) officers.

•Supported instruction across sessions covering Excel modelling, financial statement analysis, ratio analysis, and revenue forecasting.

•Assisted with assignments, case discussions, and provided hands-on guidance on Excel-based forecasting tools and pivot tables.

•Guided officers through Python and SQL fundamentals for data-driven tax auditing and business analytics.

Sep 2024 – Dec 2025

WORK

Teaching Assistant — CS-100 (Computational Problem Solving)

Lahore University of Management Sciences (LUMS)

Lahore, Pakistan

Served as Teaching Assistant for CS-100, the introductory computer science course at LUMS, across two semesters with classes of 100+ students. Coursework focused on C++ programming fundamentals, problem decomposition, and algorithmic thinking.

•Designed quizzes and graded assignments for classes of 100+ students.

•Conducted lab sessions and held weekly office hours to support student learning.

•Guided students through C++ programming fundamentals and algorithmic thinking.

C++TeachingCurriculum Design

Project Portfolio

PERSONAL

Aug 2025 – May 2026

HerSafar: Voice-First Ride-Sharing Platform

Group Project (Advisor: Mr. Waqar Ahmad)

Voice-first mobile application for low-literacy female commuters, funded by the LUMS Gender Initiative Grant. Integrating Google Gemini 1.5 Flash to convert Urdu voice transcriptions into structured ride-request data, overcoming accuracy limitations of standard STT engines for low-resource languages. Architected a Node.js backend supporting multimodal interactions including SOS alerts and real-time ride matching, deployed on Oracle Kubernetes Engine. Conducting iterative user research with target commuters to validate voice interaction patterns in resource-constrained contexts.

FlutterNode.jsMongoDBGoogle Gemini 1.5 FlashOracle Kubernetes EngineGoogle Cloud

PERSONAL

Feb 2025 – May 2025

UstaadOnline

Group Project

Full-stack tutoring platform built with the MERN stack (MongoDB, Express.js, React, Node.js), featuring JWT authentication and role-based access control. Implemented a tutor–student matching algorithm prioritizing subject expertise, student ratings, and real-time tutor availability. Real-time live tutoring sessions powered by WebSockets, with automated session booking and calendar integration.

MongoDBExpress.jsReactNode.jsWebSocketsJWT

Live Code

PERSONAL

May 2025 – May 2025

Darbaar

Group Project

Real-time multiplayer social deduction game inspired by the desi game "Badshah Ka Wazir Kon?" Built a decentralized state management system where individual player states are broadcast via Socket.IO to ensure synchronization across concurrent game rooms. Designed the full game-room lifecycle — creation, join, role assignment, voting, public chat, timer logic, and resolution. Deployed on Vercel.

ReactNode.jsSocket.IOMongoDBVercel

Live Code

PERSONAL

Nov 2024 – Dec 2024

Urdu News Classifier

Group Project

Scraped 1,000+ Urdu news articles from Geo, Express, and Jang using BeautifulSoup, building a labeled corpus across 5 categories (Entertainment, Business, Sports, Science-Technology, International). Implemented 3 classifiers from scratch — PyTorch Neural Network, One-vs-All Logistic Regression, and multinomial Naive Bayes — with the NN achieving 96% test accuracy using TF-IDF features and dropout regularization.

PythonPyTorchBeautifulSoupTF-IDFNLP

Code

PERSONAL

2025 – May 2025

Tandurust Pakistan — Visual-First Healthcare Platform

Advisor: Dr. Suleman Shahid, LUMS

Designed a visual-first healthcare platform serving 50+ low-literacy users across three government hospitals in Lahore, with multilingual support in Urdu, English, and regional languages. Conducted multi-phase usability testing and iterative design refinement to optimize interface comprehension for low-literacy patient populations. Deliverables included a Figma prototype and full usability report.

UX ResearchMultilingual DesignHealthcare

PERSONAL

Nov 2025 – Dec 2025

Structure-from-Motion 3D Reconstruction Pipeline

Built a 3D reconstruction pipeline that generates 3D scene geometry from 2D photographs, using camera calibration, epipolar geometry, feature matching across views, and bundle adjustment to refine point cloud accuracy.

PythonOpenCVNumPyComputer Vision

PERSONAL

Oct 2025 – Oct 2025

Top-View Scene Mapping

Built a spatial intelligence pipeline that converts ground-level camera views into top-down scene maps using homography transformation combined with semantic segmentation.

PythonOpenCVComputer VisionSemantic Segmentation

PERSONAL

Apr 2024 – May 2024

DHT FileVault — Distributed Hash Table System

Engineered a distributed hash table system from scratch in Python, implementing consistent hashing for key distribution, node replication for redundancy, and fault tolerance for graceful handling of node failures.

PythonDistributed SystemsConsistent Hashing