NVIDIA/dbus-sensors
Dec 2024 – Dec 2024
1 Month active
Languages Used
CC++Meson
Technical Skills
D-BusEmbedded SystemsI2C CommunicationSensor IntegrationSystem Programming
Aushim Nagarkatti
PROFILE
Aushim Nagarkatti
During December 2024, work centered on developing SMBPBI sensor integration for the NVIDIA/dbus-sensors repository. This involved implementing I2C EEPROM polling to collect sensor data and exposing the telemetry through D-Bus, enabling automated monitoring and alerting across device fleets. The solution supports configurable parameters such as address, bus, offset, units, and polling rate, with threshold-based alerts and compatibility for UINT64 and FLOAT64 data types. The feature was built using C and C++ with the Meson build system, leveraging expertise in embedded systems, I2C communication, and system programming to establish a scalable foundation for sensor-driven telemetry infrastructure.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
668
Activity Months1
Your Network
1685 peopleSame Organization
@nvidia.com1629
Shared Repositories
56
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Chau LyMember
Chester LinMember
Chijung LinMember
Work History
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 — NVIDIA/dbus-sensors: Focused delivery on sensor integration with DBus telemetry. Implemented SMBPBI Sensor Integration: I2C EEPROM polling with DBus exposure. The feature enables monitoring SMBPBI devices via a configurable sensor with thresholds and supports data types UINT64 and FLOAT64. This work establishes a foundation for scalable telemetry and alerting in the fleet.
1 Commits • 1 Features
Dec 1, 2024December 2024 — NVIDIA/dbus-sensors: Focused delivery on sensor integration with DBus telemetry. Implemented SMBPBI Sensor Integration: I2C EEPROM polling with DBus exposure. The feature enables monitoring SMBPBI devices via a configurable sensor with thresholds and supports data types UINT64 and FLOAT64. This work establishes a foundation for scalable telemetry and alerting in the fleet.
December 2024
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
CC++Meson
Technical Skills
D-BusEmbedded SystemsI2C CommunicationSensor IntegrationSystem Programming
Repositories Contributed To
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