Full Stack Software Engineer | Mobile & Web Developer
Passionate Full Stack Software Engineer specializing in building robust and user-centric web and mobile applications.
zaidshahzadbusiness@gmail.com
About Me
As a Full Stack Software Engineer and recent Computer Science graduate, I am passionate about crafting innovative and impactful web and mobile applications. My expertise spans the entire development lifecycle, from designing intuitive user interfaces to building scalable backend solutions. I thrive on leveraging technology to solve real-world problems and deliver exceptional user experiences.
Technical Skills
Frontend
HTML 
CSS 
React 
Next.js 
Svelte/SvelteKitBackend
Firebase 
Supabase 
SQL (PostgreSQL) 
MySQL 
SQLite 
NoSQL (MongoDB) 
REST APIs 
Cloudflare Workers Cloudflare R2 
HonoMobile
React Native 
FlutterLanguages
JavaScript 
TypeScript 
Dart 
Java 
C++ 
PythonDevOps/Tools
Git 
GitHub 
Vercel/Netlify 
Linux 
PostHogProjects
Educational AI VR Game | Machine Learning Visualization
An immersive VR educational tool developed for the University of Rhode Island's CSC 310 - Programming for Data Science class to help students visualize and understand supervised machine learning algorithms such as Support Vector Machine (SVM) for classification and regression tasks through interactive 3D environments.
My Full Stack Contributions:
• Developed key game mechanics and interactive features in C# (Unity) to transform abstract machine learning concepts into tangible VR experiences.
• Implemented a system to collect user responses to in-game questionnaires (in JSON format), enabling data-driven evaluation of learning effectiveness and informing future iterations of the educational content. This closed-loop feedback mechanism ensures continuous improvement of the learning experience.
Technologies:
Unity 
C# 
XR SDK (Optimized for Virtual Reality, Augmented Reality, Mixed Reality)Game Screenshot:
VR Environment for Machine Learning Visualization
🎮 Enhanced learning retention for CSC 310 students
Note: This project is not open source as it is owned and licensed by the University of Rhode Island.
RedShirt AI | AI-Powered Wardrobe Management (MVP)
A Minimal Viable Product (MVP) of an AI-powered mobile app that helps users manage their wardrobe with intelligent clothing recognition and personalized outfit suggestions.
My Full Stack Contributions:
• Intelligently optimized AI model usage and reduced inference costs by transitioning from sending raw images to detailed clothing metadata, cutting input tokens from 900,000+ to approximately 300,000 during testing. This was achieved by routing tasks to specific Google Gemini AI models: Gemini 2.5 Flash for clothing generation and Gemini 2.0 Flash for clothing detection, maximizing efficiency and minimizing API expenses.
• Engineered a low-latency, cost-efficient backend using Hono on Cloudflare Workers. By leveraging Cloudflare's edge network, I ensured minimal latency for API requests, significantly enhancing user experience.
• Migrated from Supabase storage buckets to Cloudflare R2 for object storage, eliminating egress fees and reducing storage costs (from $0.09/GB egress and $0.021/GB storage to no egress fees and $0.015/GB storage). This strategic decision optimized infrastructure expenses while increasing performance.
Technologies:
Hono Cloudflare R2/Workers Supabase 
Google Gemini AI TypeScript 
LangChain PostHogApp Screenshots (Minimal Viable Product (MVP)):
Smart Closet Management
AI Outfit Generation
🚀 Coming Soon to App Store
Currently in private beta testing using Apple TestFlight
CoinTrail | AI-Powered Financial Tracker
An AI-powered financial tracking mobile application that helps users manage expenses with intelligent insights and automated receipt scanning.
My Full Stack Contributions:
• Developed the mobile application's user interface and core functionalities using Thunkable (React Native), ensuring a seamless and intuitive user experience for financial tracking.
• Orchestrated the integration of OpenAI ChatGPT 3.5 for the AI Financial Assistant and Google Vision AI for smart receipt scanning. I built the backend logic using Firebase functions to connect these powerful AI services with the mobile application.
Technologies:
Thunkable (React Native) 
OpenAI ChatGPT 3.5 Google Vision Model FirebaseTeam Photo:
Our winning team at the Cyber Security Summit 2024
🏆 Won Cyber Security Summit 2024 - University of Rhode Island CSC 305 - Software Engineering Class Competition
Waseem Bahra | Author Blog & Portfolio Website
A comprehensive blog and portfolio website built for author Waseem Bahra, featuring a custom Content Management System (CMS) for seamless blog management.
My Full Stack Contributions:
• Developed a responsive and engaging frontend using Next.js and TypeScript, ensuring a professional and intuitive user experience for the author's blog and portfolio.
• Built a custom Content Management System (CMS) from the ground up, empowering the author with full control over blog post creation, editing, and publishing. This involved designing the data models and user interface for content management.
• Leveraged Firebase for robust backend services, including secure user authentication for CMS access and efficient data storage for blog posts and author information.
• Managed the seamless deployment of the full-stack application using Vercel, ensuring fast and reliable access for visitors.
Technologies:
Next.js TypeScript Firebase Vercel📚 Enhanced author's online presence
Note: This website is no longer available online as the author is transitioning from a personal portfolio website to creating his own brand website for his books.
Experience
Lead Software Engineer Intern
University of Rhode Island
Kingston, RI, USA
Feb 2025 - May 2025
- Led the end-to-end development of the "Educational AI VR Game" using the Unity Game Engine (in C#), creating an immersive VR educational tool for the CSC 310 - Programming for Data Science course.
- Designed and implemented interactive 3D environments and game mechanics (leveraging XR SDK for VR compatibility) to visually explain complex supervised machine learning algorithms like Support Vector Machines (SVM).
- Developed a data collection system for in-game questionnaires, storing user responses in JSON format to enable data-driven evaluation of learning effectiveness and guide future content iterations.
Teaching Assistant, Product Owner & Curriculum Author
University of Rhode Island
Kingston, RI, USA
Sept 2024 - Dec 2024
- Served as Product Owner for 5+ student teams (3-4 students each), guiding the full-stack mobile application development lifecycle from ideation to deployment.
- Co-authored the URI CSC 305 Software Engineering Zybooks textbook, impacting the learning experience for future students.
- Provided hands-on technical mentorship for the students on their mobile development journey, empowering teams to overcome complex development challenges.
Security Specialist Trainer
Target
Lincoln, RI
May 2023 - Present
- Led comprehensive training for new team members within our department and for other store security teams, contributing to standardized security protocols across multiple locations.
- Assisted in the training of an Executive Team Lead for another store, demonstrating advanced leadership support and knowledge transfer capabilities.
- Honed strong communication and collaboration skills by consistently interacting with security teams across the region and internal store departments to resolve complex security incidents.
- Successfully de-escalated situations and resolved security-related issues for numerous guests, enhancing customer satisfaction and maintaining a secure environment.
- Collaborated closely with executive leadership and local law enforcement to apprehend multiple high profile subjects involved in security incidents, showcasing effective teamwork and decisive action.
Education
Bachelor of Arts
Computer Science
University of Rhode Island
Kingston, RI
Graduated May 2025
Minor
Cyber Security
University of Rhode Island
Kingston, RI
Graduated May 2025
Certificates & Awards
Cyber Security Summit 2024 - 1st Place Winner
University of Rhode Island
Won 1st place in the CSC 305 class competition for developing CoinTrail, an AI-powered financial tracking mobile application. Competed against multiple class sections and teams.
Achievement Highlights:
- • Led development of award-winning mobile application
- • Integrated advanced AI features (ChatGPT 3.5, Google Vision AI)
- • Competed against teams from multiple class sections
- • Demonstrated excellence in mobile app development and AI integration
📅 2024
Official certificate