Worked on the foxglove-sdk repository to deliver features supporting audio data capture, 3D point cloud compression, and Jupyter notebook integration. Developed new schemas for RawAudio and CompressedPointCloud, enabling efficient serialization of PCM audio and compressed 3D data using formats like Draco and MPEG G-PCC. Enhanced Python and TypeScript code generation for schema compatibility and provided example implementations, such as a Python workflow for writing RawAudio messages to MCAP files. Improved frontend integration by enabling embedded Foxglove Viewer support in Jupyter notebooks. The work demonstrated skills in data serialization, schema design, audio processing, and cross-language development using Python and TypeScript.
April 2026 monthly summary for foxglove-sdk: Key feature delivered was the CompressedPointCloud schema, enabling compressed payloads with formats such as Draco, MPEG G-PCC, and Cloudini. This reduces metadata duplication, lowers payload size, and improves interoperability for 3D streaming workflows. The change required updating @foxglove/schemas to 1.13.0 to include the new schema, and involved regenerating artifacts and updating docs. No major bugs reported this month; stability improved through schema consolidation and a clear encoding envelope. Technologies demonstrated include TypeScript schemas, schema versioning, and documentation automation; strong alignment with codec metadata standards and 3D data pipelines. Commit references: e8e2a8a3a6f674e5b6cd61558678775f79f3cae9 (Add CompressedPointCloud schema) and 5f7b40cca3b305066c0a92ff7ace6abbae4fdc05 (Bump @foxglove/schemas to 1.13.0).
April 2026 monthly summary for foxglove-sdk: Key feature delivered was the CompressedPointCloud schema, enabling compressed payloads with formats such as Draco, MPEG G-PCC, and Cloudini. This reduces metadata duplication, lowers payload size, and improves interoperability for 3D streaming workflows. The change required updating @foxglove/schemas to 1.13.0 to include the new schema, and involved regenerating artifacts and updating docs. No major bugs reported this month; stability improved through schema consolidation and a clear encoding envelope. Technologies demonstrated include TypeScript schemas, schema versioning, and documentation automation; strong alignment with codec metadata standards and 3D data pipelines. Commit references: e8e2a8a3a6f674e5b6cd61558678775f79f3cae9 (Add CompressedPointCloud schema) and 5f7b40cca3b305066c0a92ff7ace6abbae4fdc05 (Bump @foxglove/schemas to 1.13.0).
January 2026 monthly summary for foxglove SDK work. Delivered embedded viewer support in the Foxglove Viewer for Jupyter notebooks by introducing and wiring the embeddedViewer parameter, updated the embed dependency to support the new context, and prepared notebook-based workflows for Python users. No major bugs reported in this period. The changes lay groundwork for tighter notebook integration and improved developer experience.
January 2026 monthly summary for foxglove SDK work. Delivered embedded viewer support in the Foxglove Viewer for Jupyter notebooks by introducing and wiring the embeddedViewer parameter, updated the embed dependency to support the new context, and prepared notebook-based workflows for Python users. No major bugs reported in this period. The changes lay groundwork for tighter notebook integration and improved developer experience.
Concise monthly summary for 2025-05 focusing on features and impact for foxglove-sdk. Delivered a Python example demonstrating writing RawAudio messages to MCAP, including a mono sine wave, proper audio parameters, timestamps, usage instructions, and dependencies. This accelerates onboarding for audio data capture in MCAP and provides a reusable reference for developers.
Concise monthly summary for 2025-05 focusing on features and impact for foxglove-sdk. Delivered a Python example demonstrating writing RawAudio messages to MCAP, including a mono sine wave, proper audio parameters, timestamps, usage instructions, and dependencies. This accelerates onboarding for audio data capture in MCAP and provides a reusable reference for developers.
Concise monthly summary for April 2025 focusing on business value and technical achievements across Foxglove SDKs. Delivered new audio data capabilities, fixed naming reliability, and enhanced demo tooling to enable end-to-end audio capture and processing pipelines.
Concise monthly summary for April 2025 focusing on business value and technical achievements across Foxglove SDKs. Delivered new audio data capabilities, fixed naming reliability, and enhanced demo tooling to enable end-to-end audio capture and processing pipelines.
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