Skills

Manages Azure Machine Learning experiment tracking and visualization using Weights & Biases integration for .NET projects.

Manages Azure integration and configuration for Weights & Biases machine learning experiment tracking using .NET SDK methods.

Automates cross-browser web testing with TypeScript using Playwright, enabling robust end-to-end testing for Azure and Microsoft web applications.

Simplifies sending custom telemetry and logs to Azure Monitor using Java, enabling efficient application performance and diagnostic data ingestion.

Streamlines sending custom telemetry and logs to Azure Monitor using Python, enabling efficient cloud observability and performance tracking.

Exports Java application telemetry to Azure Monitor using OpenTelemetry, enabling comprehensive performance monitoring and distributed tracing.

Exports telemetry data from Java applications to Azure Monitor using OpenTelemetry instrumentation, enabling comprehensive cloud-based performance and diagnostic monitoring.

Exports Python telemetry data to Azure Monitor, enabling comprehensive cloud-native observability and performance tracking for distributed applications.

Instrument Python applications with Azure Monitor OpenTelemetry for comprehensive distributed tracing, metrics, and logging across cloud and local environments.

Simplifies querying Azure Monitor logs and metrics using Java, enabling efficient data retrieval and analysis for cloud monitoring and observability.

Query and analyze Azure Monitor logs and metrics programmatically using Python, enabling efficient cloud infrastructure telemetry and performance insights.

Simplifies PostgreSQL database management and migrations in Azure cloud environments using TypeScript with robust connection handling and schema validation.