ASU-ASCEND/Spring-2025
Feb 2025 – Feb 2025
1 Month active
Languages Used
C++
Technical Skills
C++Data PackagingData SerializationDocumentationEmbedded SystemsSensor Integration
Nedu Robert
PROFILE
Nedu Robert
Robert Nedum developed an end-to-end sensor data capture and serialization pipeline for the ASU-ASCEND/Spring-2025 repository, focusing on the LSM9DS1 sensor. He implemented per-axis calibration for accelerometer, gyroscope, and magnetometer readings, then packaged the results into a unified data packet. Using C++ and embedded systems techniques, Robert replaced the previous GPS-data handling with a streamlined 9-float CSV format, simplifying telemetry and analytics workflows. His work emphasized data packaging, serialization, and documentation, resulting in a more maintainable and efficient data pipeline. The depth of the solution supports faster analytics iteration and reduces complexity in sensor data management.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
243
Activity Months1
Your Network
6 people
Work History
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025 — ASU-ASCEND/Spring-2025: Delivered end-to-end LSM9DS1 sensor data capture with per-axis calibration, packing into a data packet, and decoding to a 9-float CSV representation. Replaced GPS-data handling with this streamlined sensor CSV format to simplify telemetry and analytics. The work strengthens data quality, reduces pipeline complexity, and supports faster iteration on analytics features.
3 Commits • 1 Features
Feb 1, 2025February 2025 — ASU-ASCEND/Spring-2025: Delivered end-to-end LSM9DS1 sensor data capture with per-axis calibration, packing into a data packet, and decoding to a 9-float CSV representation. Replaced GPS-data handling with this streamlined sensor CSV format to simplify telemetry and analytics. The work strengthens data quality, reduces pipeline complexity, and supports faster iteration on analytics features.
February 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability86.6%
Architecture86.6%
Performance86.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++
Technical Skills
C++Data PackagingData SerializationDocumentationEmbedded SystemsSensor Integration
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