PORTFOLIO / 2025

Parsa
Ahmadnezhad

Software Engineer and Computer Science student at the University of Waterloo, building full-stack applications, AI-powered tools, and mobile experiences.

Available for work
Waterloo, ON
RECENTLY
Mobile App Developer
@ Personalize Send
Oct 2025 — Dec 2025
EDUCATION
University of Waterloo
Mathematics & Computer Science
In Progress
FOCUS
ReactTypeScriptPythonReact NativeNext.jsFastAPI

Work Experience

2025
2025

Mobile App Developer

Personalize Send · Richmond, VA

Built a full-stack React Native application using Expo, Firebase, and Gemini AI for real-time image editing and text customization on greeting cards. Architected a backend with Firebase Cloud Functions, Firestore, and AWS S3, implementing a subscription-based store-credit system that automated fulfillment workflows and reduced manual processing time by 60%.

React NativeExpoFirebaseGemini AIAWS S3StripeShopify API
2025

Software Engineer Intern

TranQuility Inc. · Toronto, ON

Built and maintained web features for company app 'Encubatorr' using React, Flutter, Python, and TypeScript, improving release reliability and reducing bug reports by 25% through clean architecture and automated tests. Worked with product, design, and AI teams to integrate GPT-style tools, set up cloud systems with Firebase and AWS, and build secure APIs, improving app load times by 30%.

ReactFlutterPythonTypeScriptFirebaseAWS
2025

Software Development Intern

Rove (YC W24) · New York City, NY

Built a full-stack miles redemption optimizer using Python, Streamlit, and the Amadeus API, calculating up to 60 flight options across 10+ airlines and ranking them by cost-per-mile (CPM) to find the best redemption value. Designed an interactive UI and routing algorithm that simulates multi-leg flight paths using SQLite data, improving redemption value by up to 50%.

PythonStreamlitAmadeus APISQLite

Projects

The Bias Lab

Built a full-stack AI-powered news analysis platform using FastAPI and Next.js, implementing GPT-based claim extraction and semantic similarity algorithms to categorize claims into 4 consensus tiers across event clusters. Designed a truth-scoring engine using OpenAI embeddings, scikit-learn, and MongoDB, applying source credibility weighting across 20+ news outlets.

PythonFastAPINext.jsTypeScriptOpenAIMongoDB

Signematic – Sign Language Translation

Developed a Chrome extension and Adobe add-on that transcribes speech in videos and audio files into real-time sign language animation frames, using speech recognition, web scraping, and Three.js animations. Built a machine-learning-powered system integrating ASL grammar rules, gesture models, and video stitching to provide accessible sign language subtitles.

JavaScriptThree.jsChrome ExtensionAdobe Add-on

Let's Connect

Always interested in new opportunities, collaborations, and conversations about technology and design.

© 2025 Parsa Ahmadnezhad. All rights reserved.
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