Joshua Barre

Built and deployed neural network models to estimate material reliability under stress, designing automated scoring to standardize evaluations and reduce manual review time. Streamlined Python + Azure AI pipelines to deliver an 83% performance optimization, then partnered with a U.S.-based team to ship model updates, testing workflows, and reliability dashboards that made results easy to interpret and track. I owned the end‑to‑end ML loop: data preparation, training, evaluation, and monitoring, plus experimentation on model structure to balance accuracy and speed. I also documented model behavior and edge cases, coordinated validation with stakeholders, and helped package the pipeline so the team could reproduce results consistently across runs.

Supported front-of-house service in a fast-paced restaurant environment, handling POS transactions, cash, and order coordination during peak rushes while maintaining a consistent customer experience. Kept operations flowing by communicating clearly with the kitchen, monitoring timing in the oven line, and adapting to rapid order changes without disrupting service. Balanced accuracy with speed, verified tickets and special requests, and managed multiple priorities in tight time windows. The role demanded strong situational awareness and teamwork to keep wait times low and ensure every order left correctly and on schedule.