
Ankur Jagwani developed and integrated audio processing features for the csound/csound repository, focusing on embedded systems and real-time DSP workflows. Over four months, Ankur delivered end-to-end examples for the Daisy platform, including a generative Csound demo, MIDI refactoring, and an echo effect instrument, all supported by custom Makefiles and C++ source code. He addressed cross-platform correctness in the Filter Processing API, resolving low-level C/C++ issues to ensure reliable behavior on bare metal. By streamlining build systems and deployment tooling, Ankur improved onboarding and reproducibility, demonstrating depth in audio programming, embedded systems development, and cross-platform software engineering using C, C++, and Makefile.

August 2025 focused on delivering a practical Daisy Platform integration with Csound for audio processing. A new Daisy example demonstrates end-to-end DSP workflow on Daisy hardware, including input-to-control-channel mapping and a basic echo instrument. The work provides a reproducible build and integration path for rapid prototyping and education, positioning developers to experiment with real-time audio DSP on embedded hardware.
August 2025 focused on delivering a practical Daisy Platform integration with Csound for audio processing. A new Daisy example demonstrates end-to-end DSP workflow on Daisy hardware, including input-to-control-channel mapping and a basic echo instrument. The work provides a reproducible build and integration path for rapid prototyping and education, positioning developers to experiment with real-time audio DSP on embedded hardware.
March 2025 monthly summary for csound/csound: Delivered Daisy platform generative Csound example and refactored MIDI example; added build and deployment tooling to enable memory management and on-device deployment. Fixed crashes in the Daisy example to improve reliability and hardware demonstrations. Set a foundation for hardware-targeted demos and future enhancements.
March 2025 monthly summary for csound/csound: Delivered Daisy platform generative Csound example and refactored MIDI example; added build and deployment tooling to enable memory management and on-device deployment. Fixed crashes in the Daisy example to improve reliability and hardware demonstrations. Set a foundation for hardware-targeted demos and future enhancements.
January 2025 performance summary for csound/csound: Delivered a Daisy Example Build Setup by adding a dedicated Makefile that configures build settings, source files, and library/include paths for libDaisy and DaisySP, and enables bare-metal compilation with Csound by integrating the Csound include and library directories. This work streamlines onboarding, reduces setup time, and improves reproducibility for cross-target builds.
January 2025 performance summary for csound/csound: Delivered a Daisy Example Build Setup by adding a dedicated Makefile that configures build settings, source files, and library/include paths for libDaisy and DaisySP, and enables bare-metal compilation with Csound by integrating the Csound include and library directories. This work streamlines onboarding, reduces setup time, and improves reproducibility for cross-target builds.
October 2024: Focused on correctness and cross-platform reliability of the Filter Processing API in the csound/csound repository. Implemented fixes to prototypes and 32-bit integer handling for readFilter, insertFilter, and process_nfc to ensure correct behavior on bare metal and across platforms. These changes reduce platform-specific inconsistencies, improve real-time audio stability, and establish a solid foundation for future feature work.
October 2024: Focused on correctness and cross-platform reliability of the Filter Processing API in the csound/csound repository. Implemented fixes to prototypes and 32-bit integer handling for readFilter, insertFilter, and process_nfc to ensure correct behavior on bare metal and across platforms. These changes reduce platform-specific inconsistencies, improve real-time audio stability, and establish a solid foundation for future feature work.
Overview of all repositories you've contributed to across your timeline