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Tyler Nguyen

PROFILE

Tyler Nguyen

Tyler developed a scalable Vehicle Fault Management Framework for the Anteater-Electric-Racing/embedded repository, focusing on robust fault detection and handling within real-time vehicle firmware. Using C and C++, he implemented a bitmask-based fault representation integrated into the main control loop, enabling efficient fault initialization, setting, clearing, and response. Tyler extended the system to support APPS and BSE sensor plausibility checks and cross-sensor agreement, enhancing safety-critical reliability. He also built a fault testing framework and CAN bus motor testing scaffolding, leveraging unit testing and sensor integration to improve validation coverage. The work demonstrated depth in embedded systems and fault management design.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

7Total
Bugs
0
Commits
7
Features
3
Lines of code
705
Activity Months2

Work History

February 2025

3 Commits • 2 Features

Feb 1, 2025

February 2025 – Anteater-Electric-Racing/embedded: Focused on safety-critical reliability and testability improvements for the vehicle control stack. Delivered core sensor data integrity and safety checks for APPS and BSE, including sensor plausibility checks, cross-sensor agreement across redundant APPS/BSE sensors, and fault detection to ensure safe operation under degraded sensing. Established a fault testing framework and CAN bus motor testing scaffolding to enable robust embedded validation, including Unity-based fault tests, CAN initialization, message checksum computation, and VCU1 torque message transmission for motor testing.

January 2025

4 Commits • 1 Features

Jan 1, 2025

January 2025 performance summary for the embedded subsystem of Anteater-Electric-Racing. Primary focus was delivering a scalable Vehicle Fault Management Framework for firmware, establishing a robust foundation for fault detection and handling that supports future APPS and BSE integration. The work was implemented as part of the main control loop and leverages a bitmask-based fault representation to enable scalable, low-overhead fault handling across the system.

Activity

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Quality Metrics

Correctness83.0%
Maintainability80.0%
Architecture77.2%
Performance71.4%
AI Usage22.8%

Skills & Technologies

Programming Languages

CC++

Technical Skills

CC++CAN Bus CommunicationEmbedded SystemsFault DetectionFault HandlingFault ManagementFault ToleranceFirmware DevelopmentMicrocontrollersReal-time SystemsSensor IntegrationUnit Testing

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

Anteater-Electric-Racing/embedded

Jan 2025 Feb 2025
2 Months active

Languages Used

CC++

Technical Skills

CC++Embedded SystemsFault HandlingFault ManagementFault Tolerance

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