Zaid Qourah
Software Engineer
Building elegant solutions to complex problems
I'm a passionate software engineer specializing in full-stack development, with a focus on creating performant, user-centric applications.
About
Education
Michigan State University
Aug 2022 – Dec 2025Bachelor of Science, Computer Science • Minor in Economics
East Lansing, Michigan • GPA: 3.964
Experience
Software Engineer
Aug 2025 – Dec 2025Kohl's Corporation • East Lansing, Michigan
Partnered with client Kohl's to develop and deliver the "Kohl's Cash Hero" gamified product discovery system, boosting sales amongst Gen Z and Millennial users
Engineered an enterprise-grade, full-stack architecture utilizing ReactJS (frontend), Spring Boot Java (backend), and Axios for communication
Developed an item-item collaborative filtering recommendation algorithm, personalizing UX and driving product discovery
Software Engineering Intern
Jun 2025 – Aug 2025Quality Logistics Co Ltd. • Amman, Jordan
Modernized company website by migrating from unsupported Drupal legacy stack to NextJS, ReactJS and TypeScript, improving website performance by 300%
Built backend API routes and edge functions with automated CI/CD pipeline, reducing deployment time by 90%
Project Team Lead
Aug 2023 – May 2024MSU AI Club • East Lansing, Michigan
Led a group of 10 members, building an AI–powered nutrition recommendation web–app, hosting 1000+ users with 95% positive feedback
Engineered an AI nutrition assistant by fine-tuning an LLM model on Kaggle datasets
Skills
Languages
Java
Python
TypeScript
JavaScript
Go
C#
C++
SQLFrameworks & Libraries
React
Next.js
Spring
Django
TailwindCSS
PandasTools & Platforms
Git
Docker
AWS
Azure
Firebase
Vercel
PostmanProjects
Code Review Tool
Architected a code review platform to streamline team code review workflows. Deployed with SSH key authentication, encrypted git diff storage in ScyllaDB, and Docker/TLS for efficient, scalable containerization.
GreenSync
Built a decentralized AI compute system to distribute AI workloads across user devices managed with Firebase. Enables efficient resource sharing for distributed machine learning tasks.
Fantasy Soccer Predictor
Programmed predictive model to forecast match outcomes using statistics from 700+ players, achieving a 72% accuracy rate on held-out test data from 2023/2024 season.
Contact
I'm always open to discussing new opportunities, interesting projects, or potential collaborations. Feel free to reach out through any of the channels below.