I build production APIs, data pipelines, queues, and operational systems with TypeScript/Node.js, Python, PostgreSQL, and Redis. I started in warehouse operations and learned to code by replacing slow, error-prone workflows with software people could use every day.

My work includes a pricing platform spanning 15 states, 1,000+ locations, 175,000+ products, and 13M+ historical price points, plus warehouse software in daily production since December 2024.

Open to Backend Engineer and backend-focused Software Engineer roles in South Florida or remote within the United States.

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The data pipeline behind competitive pricing at a multi-state retailer. BullMQ and Redis workers ingest and normalize 175,000+ products and 13M+ historical price points from 1,000+ locations into PostgreSQL, with OCR, deduplication, retries, and automated recovery. It replaced roughly two weeks of manual work per collection cycle and is used daily by the pricing team.

Browser-based warehouse software that converts inconsistent CSV and Excel exports into scannable Zebra thermal labels. Operators scan a barcode, resolve the product, assign a batch, and print product, date, allergen, and box data. A three-tier catalog cache keeps the workflow available through network drops. It has run in daily production since December 2024.

A Node.js/TypeScript market-data service consuming real-time Hyperliquid price and L2 order-book streams for active perpetual markets discovered from exchange metadata.

• Backend services and REST APIs
• PostgreSQL data modeling and transactional workflows
• Queues, workers, retries, and failure recovery
• Real-time WebSocket systems
• Messy third-party integrations and browser automation
• CI, observability, and operational handoff

Core stack: TypeScript · Node.js · Python · PostgreSQL · Redis · BullMQ · WebSockets · Supabase · Docker · Playwright