• Architected and led development of a high-throughput telemetry ingestion platform using C#, Azure Event Hub, and Azure Functions, enabling reliable processing of real-time data from globally deployed energy storage devices.

• Led migration of a 100TB telemetry archive from legacy storage to a modern data platform, reducing infrastructure and operational costs by approximately $100K annually while improving data accessibility for analytics and diagnostics.

• Built a serverless health monitoring system leveraging Azure Event Hub, Functions, Blob Storage, and Courier to automatically detect and escalate operational anomalies across deployed systems in near real time.

• Directed modernization of internal tooling by migrating legacy WPF desktop applications to a React + ASP.NET web platform, improving maintainability, deployment velocity, and cross-team accessibility.

• Championed engineering quality and reliability practices, leading design reviews, and improving CI/CD pipelines in Azure DevOps.

• Designed and implemented RESTful microservices using C# and ASP.NET to support inventory management, telemetry ingestion, and commissioning workflows across distributed energy storage systems.

• Implemented secure authentication and authorization by integrating Azure Key Vault and Microsoft Entra ID (Azure AD), enforcing RBAC and OAuth-based access control across internal services.

• Developed a WPF-based commissioning application integrated with backend APIs to support real-time field device configuration, tracking, and site data synchronization for deployment teams.

• Developed a real-time operations platform using Electron, React, Redux, and D3 to visualize telemetry and operational status from deployed flywheel energy storage units.

• Implemented gRPC and Protobuf communication layers to enable low-latency, high-throughput data exchange between the UI platform and embedded firmware systems.

• Built a fleet analytics dashboard using React and ASP.NET to analyze global site performance over time, leveraging downsampled telemetry datasets (1–15 minute intervals) and events for scalable historical insights.

• Contributed to backend service architecture and API development using C#/.NET, integrating SQL Server and time-series storage systems to support reliable access to historical telemetry data.

• Early Startup contribution leveraging full stack knowledge of React, Redux, Rails, HTML, CSS, JavaScript, Wireframes, UML, Postgres, and RESTful API Design.