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Kean Khee Cheong

PROFILE

Kean Khee Cheong

Worked on the NVIDIA/edk2-platforms repository to enhance diagnostic tooling by adding FitGen support for FUSA Diagnostics ACM version 0x200. Developed new parsing logic in C to handle updated FMS and FMSMask formats, ensuring compatibility with evolving diagnostic ACM standards while maintaining backward compatibility for existing workflows. Focused on embedded systems and firmware development, the work centralized parsing logic to reduce future maintenance and improve robustness against validation failures. Collaborated with cross-functional teams to align with silicon and Intel requirements, emphasizing maintainable code and reliable tool development. This effort strengthened platform validation processes and streamlined future diagnostic updates.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

1Total
Bugs
0
Commits
1
Features
1
Lines of code
58
Activity Months1

Your Network

2141 people

Work History

February 2025

1 Commits • 1 Features

Feb 1, 2025

February 2025 monthly summary for NVIDIA/edk2-platforms: Deliveries focused on enhancing diagnostics compatibility and tooling reliability. Key feature delivered: FitGen now supports FUSA Diagnostics ACM version 0x200, including new parsing logic for FMS and FMSMask to maintain compatibility with updated diagnostic ACM formats. This work establishes forward compatibility with newer ACM standards while preserving existing workflows. Major bugs fixed: resolved parsing incompatibilities introduced by the ACM format update and hardened FMS parsing to improve robustness and reduce validation failures. Overall impact and accomplishments: strengthens diagnostic tooling readiness for platform validation, reduces future maintenance by centralizing parsing logic, and enables smoother validation cycles for NVIDIA platforms. Technologies/skills demonstrated: diagnostic formats handling, parsing logic development, FitGen tooling, cross-team collaboration with silicon/intel, and emphasis on maintainable code.

Activity

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Quality Metrics

Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance60.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

C

Technical Skills

Embedded SystemsFirmware DevelopmentTool Development

Repositories Contributed To

1 repo

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

NVIDIA/edk2-platforms

Feb 2025 Feb 2025
1 Month active

Languages Used

C

Technical Skills

Embedded SystemsFirmware DevelopmentTool Development