Qasim Masood

CS Student · Full-Stack Developer · Class of 2026

I’m a final-year Computer Science student focused on building end-to-end systems, from backend logic to user-facing interfaces. I’m actively looking for new grad opportunities where I can contribute, grow, and work on real engineering problems.

About

Background and interests

I'm a final-year Computer Science student at UMass Boston, graduating May 2026, with a strong foundation in object-oriented programming, data structures, algorithms, and the software development lifecycle. I write primarily in Java and Python, and I've applied that foundation across the full stack, from backend services and APIs to front-end interfaces and mobile applications.

I'm especially drawn to systems thinking and practical problem-solving, whether that's backend logic, cloud workflows, or tools that improve reliability and real-world impact. I value collaboration, curiosity, and writing software with purpose. More than anything I'm driven by a constant pursuit of knowledge, always looking to learn, apply, and grow.

Outside of engineering, I'm a fitness enthusiast and an avid reader. Find me on Goodreads

A quote I think everyone needs to read:

Your time is limited. Don't waste it living someone else's life. Don't let the noise of others' opinions drown out your own inner voice. Stay hungry. Stay foolish.

— Steve Jobs

  • Boston, MA
  • Open to Work
  • UMass Boston, May 2026
  • US Citizen

Projects

Selected work and personal projects

Hazardly — Real-Time Hazard Intelligence Platform

In Progress

Full-stack mobile platform aggregating real-time crime, traffic, and weather data into a unified, location-aware public safety feed.

Node.jsFirebaseSwiftUIiOS 17+REST APIsCloud Functions
  • Designed a modular backend pipeline using Node.js and Firebase Cloud Functions where each data source flows through a standardized fetch, normalize, filter, deduplicate, cache, and summarize sequence
  • Built a normalization layer to standardize timestamps, geolocation, and incident schemas across all external APIs enabling consistent downstream processing
  • Engineered filtering logic to remove stale, vague, or out-of-range incidents with time-window constraints including same-day retrieval for 911 calls and rolling 7-day history for incidents
  • Developed a reusable deduplication module to collapse redundant hazards across overlapping API responses without losing signal
  • Integrated an AI-powered summarization pipeline to convert raw incident data into concise, readable alerts for end users
  • Built a SwiftUI iOS app with live map, user location integration, dynamic hazard overlays, scrollable incident feed, and detailed hazard views
  • Implemented in-memory caching and rate limiting within the API manager layer to reduce redundant calls and respect third-party quotas

Wayfair AI Automation

AI-powered product intelligence pipelines built during a Wayfair externship to automate competitor tracking and market trend discovery at scale.

n8nGemini APIJavaScriptJavaWebhooks
  • Architected multi-node automation workflows in n8n orchestrating Gemini LLM, RSS ingestion, and HTTP request nodes to collect, transform, and route competitor product data through a structured processing pipeline
  • Engineered scraping agents that extract and normalize product attributes including price, size, and material across inconsistent source schemas and write structured records for downstream analysis
  • Implemented error handling and retry logic across pipeline nodes to gracefully manage API failures, rate limiting, and malformed upstream responses
  • Propagated processed AI outputs to a live Google Sheets dashboard via webhooks enabling stakeholders to monitor competitor metrics and trend signals in real time

3D Interactive Solar System

Browser-based orbital simulation built with Three.js featuring physically grounded mechanics, dynamic lighting, and multi-perspective camera controls.

Three.jsWebGLJavaScriptGitHub Pages
  • Contributed 3,000+ lines of Three.js to implement a real-time 3D simulation with physically grounded orbital speeds, axial tilt, and scaled planetary positioning
  • Configured Three.js lighting to simulate realistic solar illumination with falloff across planetary surfaces and atmospheric depth
  • Built a multi-camera control system allowing users to switch between free-roam, planet-locked, and solar perspectives with smooth transitions
  • Deployed as a static application on GitHub Pages with zero backend dependencies

Experience

Roles and programs

Sunstates Security

Security Officer

Jan 2025 – PresentBoston, MA
  • Manage building access, badge verification, and visitor credentialing as first point of contact for a commercial office facility
  • Monitor surveillance systems, access controls, and alarms while coordinating with operations and facilities teams on incidents
  • Maintain daily reports and shift pass-downs to ensure continuity across security personnel

Wayfair

AI Automation Extern

Dec 2025 – Feb 2026Remote
  • Built AI automation workflows in n8n orchestrating Gemini LLM, RSS, and HTTP nodes to collect, process, and route competitor product data for the marketing team
  • Engineered scraping agents to extract and normalize product attributes including price, size, and material across inconsistent source schemas
  • Implemented error handling and retry logic across pipeline nodes to manage API failures, rate limits, and malformed upstream responses
  • Delivered processed outputs into a live Google Sheets dashboard via webhooks, enabling the marketing team to monitor competitor trends in real time

Dialpad

Dialership Program Participant

Jun 2024 – Aug 2024Remote
  • Participated in Dialpad's Dialership program, a structured mentorship initiative for students exploring careers in software engineering and cloud technologies
  • Attended technical sessions led by Dialpad engineers covering real-time voice infrastructure, AI-powered communications, and SaaS architecture
  • Gained exposure to backend, frontend, and DevOps workflows across a production-scale cloud communications platform

T-Mobile

Mobile Sales Associate

Jul 2022 – Aug 2023Weymouth, MA
  • Advised customers on devices, plans, and accessories by translating technical specifications into clear, accessible recommendations
  • Processed line activations, upgrades, and account troubleshooting using in-store systems and digital tools
  • Contributed to store sales targets while maintaining high customer satisfaction in a fast-paced retail environment

Education

Academic background and coursework

University of Massachusetts Boston

Bachelor of Science in Computer Science

Relevant Coursework

Graduation 2026

Boston, MA

CS 110Introduction to Computing
CS 210Intermediate Computing
CS 220Applied Discrete Mathematics
CS 240Programming in C
CS 285Social Issues and Ethics in Computing
CS 310Advanced Algorithms
CS 341Computer Architecture & Organization
CS 410Introduction to Software Engineering
CS 420Introduction to Theory of Computation
CS 444Operating Systems
CS 446Internetworking
CS 450Higher Level Languages
CS 451Compilers
CS 460Graphics

Skills

What I build with

Languages

JavaPythonJavaScriptSQLHTMLCSS

Frontend

ReactNext.jsTailwind CSSHTMLCSSSwiftUI

Backend & Cloud

Node.jsExpressFirebaseCloud FunctionsREST APIsPostgreSQLAWSWebhooks

Tools & Practices

GitLinuxDockerVS CodeAgile/ScrumUnit Testing

Contact

Ways to reach me for opportunities or collaboration

I'm currently open to new grad opportunities and always happy to connect. Feel free to reach out through any of the channels below.

Email

qm.masood03@outlook.com

LinkedIn

linkedin.com/in/qmasood

GitHub

github.com/QasimMasood