About Sam
"Building fast, scalable, cloud-native web applications with clean user experiences."
About Me
Hi, I'm Sam Weimer. I'm a Full-Stack Engineer with around 5 years of experience architecting and building fast, scalable, cloud-native web applications. I hold a B.S. in Computer Science from Binghamton University and spend my time building production software, exploring modern architecture patterns, and turning technical challenges into clean user experiences.
About This Project
This application was built as a practical demonstration of integrating real-time AI tools into enterprise workflows—specifically for automated regulatory compliance and verification against federal TTB (Alcohol and Tobacco Tax and Trade Bureau) labeling standards.
Key Technical Highlights
Modern Full-Stack Foundation
Built end-to-end with Next.js (App Router), TypeScript, and Tailwind CSS, designed as a single, lightweight containerized application for maximum performance and zero network overhead.
Multimodal AI Vision
Leverages Gemini 3.1 Flash Lite for rapid, high-accuracy OCR text extraction across complex, styled alcohol bottle labels.
In-Memory Deterministic Validation
Combines AI-extracted evidence with strict regulatory rule checks (fuzzy string matching, ABV percentage tolerances, and mandatory federal Government Warning detection) running in milliseconds.
Performance Optimization
Built for speed—using client-side image compression to shrink uploads from multi-megabyte photos down to lightweight payloads, ensuring sub-4-second end-to-end evaluation speeds.
Throttled Batch Processing
Includes a resilient bulk upload workflow that manages concurrent API calls through an in-memory semaphore and client-side sequential queue, protecting upstream quotas during high-volume scans.
Cloud-Native & Serverless
Fully containerized via Docker and deployed serverless on Google Cloud Run for auto-scaling and high availability.
Links & Portfolio
This Alcohol Label Scanner is a take-home project designed to demonstrate full-stack capabilities with Next.js and AI integration.