
Developed the core infrastructure for the Bifrost project, focusing on enabling seamless integration with multiple AI providers. The work established a scalable backend foundation in Go, introducing clean provider interfaces for models such as OpenAI and Anthropic. By designing robust API endpoints and an HTTP transport layer, the system allows dynamic configuration and request handling across providers. The implementation emphasized modular system architecture and middleware development, wiring together schemas, provider logic, and transport components for end-to-end functionality. All contributions were delivered in the maximhq/bifrost repository, demonstrating depth in API design, backend development, and concurrent cloud integration within a short timeframe.
March 2025: Established core infrastructure for Bifrost and enabled multi-provider AI integration. Focused on building a scalable foundation to plug in various AI providers (OpenAI, Anthropic) with clean provider interfaces, configuration, request handling, and an HTTP API/transport layer for seamless integration across providers.
March 2025: Established core infrastructure for Bifrost and enabled multi-provider AI integration. Focused on building a scalable foundation to plug in various AI providers (OpenAI, Anthropic) with clean provider interfaces, configuration, request handling, and an HTTP API/transport layer for seamless integration across providers.

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