Worked on the Blaizzy/mlx-audio repository to enhance the audio transcription API by introducing a response_format parameter to the /v1/audio/transcriptions endpoint. This addition allowed clients to specify output in text, json, verbose_json, or the default ndjson format, improving compatibility with OpenAI-Audio-API clients such as Whisper.cpp and the OpenAI Python client. The implementation focused on maintaining backward compatibility while broadening interoperability. Comprehensive test coverage was provided in Python, with four new tests validating each response format. The work demonstrated skills in API development, backend development, and testing, delivering clear business value through improved client integration and robust code quality.