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Nicholas Iazzetta
• Aug 15
Gredia: Allergy Scanner and Affiliate Recommendation Engine
The Problem: Consumers with severe food allergies struggle to find safe alternatives to products they love, while manually reading complex ingredient labels is time-consuming and error-prone.
The Solution: Gredia is a B2C application that scans food products, instantly filters out dangerous allergens using a proprietary rule engine, and recommends safe, highly-matched alternative products via Amazon's PA-API to generate affiliate revenue.
Technical Highlights:
Massive Data Normalization: Engineered a Node.js script using the OpenAI Batch API to process and normalize unstructured ingredient data for over 3,500,000 products.
High-Performance Search: Replaced expensive vector searches with a heavily optimized PostgreSQL Full Text Search (FTS) and strict Regex filtering pipeline in Supabase, dropping latency to milliseconds.
Resilient API Integrations: Built a custom caching layer (Stale-While-Revalidate) to respect Amazon PA-API's strict 1-request-per-second limits while maintaining instant UI load times.
Database EngineeringiOS DevelopmentCursorExpoPostgreSQL
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