Built and launched Amazon's labor planning platform across 96 North America fulfillment centers, contributing to $438M in labor cost reductions.

• Eliminated 94% of manual plan reviews (~45 labor-hours/day) via an automated promotion system that scored plan quality across 96 sites.
• Reduced full-network regeneration time by 86% (2.4 hours → 20 minutes) through high-concurrency ingestion and 25 parallel plan generations, meeting 1-hour SLAs.
• Resolved 100+ infeasible scenarios during peak by shipping schedule-alignment optimization and deep CloudWatch observability.

• Drove a multi-feature gRPC platform enhancement in ASP.NET Core, delivering microservices for querying and managing hardware I/O access.
• Presented the solution at NI Connect 2024 to 30+ external customers, helping expand platform adoption.
• Secured a critical customer engagement and protected major revenue by updating XML design schema and C# back-end frameworks for a high-priority workflow.

• Cut customer downtime by 40% by engineering a full-stack maintenance tool (Blazor, .NET Core, Electron) that enabled faster diagnosis and resolution of test system issues.
• Accelerated measurement workflows by ~30% through remote, pipelined acquisition with gRPC microservices and C++ drivers.
• Reduced time-to-first-measurement by ~50% by shipping open-source Python and LabVIEW reference implementations for real-time streaming and waveform acquisition.
• Improved release reliability and team velocity via modernized CI/CD (Azure Pipelines, Cake), stronger Agile execution, and cross-timezone collaboration.

• Drove hardware sales growth by designing modern .NET APIs that expanded C instrument driver accessibility to new customer segments.
• Saved engineering time by automating C# P/Invoke generation from C headers and standardizing installer tooling across six product teams.