UWaterloo-Formula-Electric/firmware
Nov 2024 – Nov 2024
1 Month active
Languages Used
CCSV
Technical Skills
Automotive SystemsData FormattingData ManagementEmbedded SystemsFirmware Development
florenceyuen
PROFILE
Florenceyuen
Teddy focused on developing a safety-critical overcurrent monitoring feature for the UWaterloo-Formula-Electric/firmware repository, targeting the Power Distribution Unit’s low voltage system. He implemented proactive fault detection by integrating a 30-amp current limit and new diagnostic trouble code (DTC) entry directly into the sensor task, using C for embedded firmware development. Teddy also addressed DTC macro references and resolved formatting inconsistencies in DTC.csv, improving data integrity and downstream analytics. His work emphasized reliable telemetry and maintainable code, leveraging skills in automotive systems, data management, and embedded systems. The engineering effort delivered robust monitoring and enhanced diagnostic capabilities for safer vehicle operation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
1
Lines of code
12
Activity Months1
Your Network
6 people
Work History
November 2024
6 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for UWaterloo-Formula-Electric/firmware: Focused engineering effort on safety-critical PDU monitoring and diagnostics, delivering a robust overcurrent monitoring feature with durable logging and improved data quality. The work emphasizes business value through safer operation, faster fault diagnosis, and reliable telemetry for decision-making.
6 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for UWaterloo-Formula-Electric/firmware: Focused engineering effort on safety-critical PDU monitoring and diagnostics, delivering a robust overcurrent monitoring feature with durable logging and improved data quality. The work emphasizes business value through safer operation, faster fault diagnosis, and reliable telemetry for decision-making.
November 2024
Activity
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Quality Metrics
Correctness93.4%
Maintainability93.4%
Architecture93.4%
Performance96.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CCSV
Technical Skills
Automotive SystemsData FormattingData ManagementEmbedded SystemsFirmware Development
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