Teams at UP.Labs

Lead backend architecture and system design for an AI-driven manufacturing planning platform. Build and scale a Node.js/Python stack with Azure Databricks, implement optimization and scheduling algorithms, establish engineering patterns, and mentor/lead a small early-stage engineering team while collaborating with product and data functions.

Part-time QA Analyst reviews emails, invoices, confirmations, and system outputs to verify financial and operational data accuracy. Identify inconsistencies, duplicates, and mapping errors, flag anomalies, and report reproducible issues with context to engineering to maintain data integrity and reliable financial outputs.

Lead end-to-end deployments of AI for hotel revenue teams: integrate PMS/CRS/RMS, ship ML/optimization models and agentic workflows, validate recommendations with revenue managers, define metrics, drive adoption, and hire/mentor the forward deployed engineering team.