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Shveta Gupta

PROFILE

Shveta Gupta

Worked on the NVIDIA/edk2-nvidia repository, focusing on embedded systems and firmware development using C. Over four months, delivered enhanced memory reporting by refactoring SMBIOS parsing to support multiple DRAM devices per CPU socket and introduced versioned data structures for improved hardware compatibility. Addressed hardware inventory accuracy by expanding DRAM information and supporting CAMM modules, while also improving boot loader compatibility for new configurations. Fixed bugs affecting memory speed telemetry and strengthened memory management by preventing NULL pointer dereferences in STRTAB allocation. The work emphasized robust system architecture, accurate hardware analytics, and reliable memory management across evolving hardware platforms.

Overall Statistics

Feature vs Bugs

60%Features

Repository Contributions

6Total
Bugs
2
Commits
6
Features
3
Lines of code
585
Activity Months4

Your Network

1674 people

Work History

August 2025

1 Commits

Aug 1, 2025

In August 2025, focused on robustness and reliability for NVIDIA/edk2-nvidia. There were no new user-facing features this month; the priority was hardening critical memory-paths. A critical safety fix was implemented in STRTAB allocation to prevent NULL pointer dereferences, reducing crash risk and improving stability in production deployments.

April 2025

1 Commits

Apr 1, 2025

April 2025: Key bug fix delivered for memory speed reporting in NVIDIA/edk2-nvidia. The DRAM speed is now populated per DRAM module (per module) for type 17 data structures, instead of per socket. This improves accuracy of memory speed telemetry across configurations with multiple DRAM modules, enabling more reliable hardware analytics and performance tuning. The change was implemented via commit ef702713054bfb11f1b6e5f5bb0531cc2b7f0439 with message 'fix: populate speed in type 17 per DRAM'.

March 2025

3 Commits • 2 Features

Mar 1, 2025

March 2025 highlights for NVIDIA/edk2-nvidia: Implemented firmware-level updates to support new hardware configurations, improved boot loader compatibility, and enhanced hardware reporting for CAMM modules. Key changes include CPUBL Parameter V1 restructuring and versioning in DRAM info, and SMBIOS Type 17 FormFactor enhancements across CAMM modules. These changes reduce risk during hardware upgrades, improve system inventory accuracy, and position the codebase for future hardware platforms.

February 2025

1 Commits • 1 Features

Feb 1, 2025

February 2025: Delivered Enhanced Memory Reporting Across DRAM Devices per CPU Socket. Refactored the SMBIOS parser to report data for all DRAM devices across SMBIOS types 16, 17, and 19 and added CPUBLParams image version v1 to enable reading the enhanced data. Commit: 2474baccd466325746fa4b3d8949dfcd66d1978d. This work improves hardware visibility for diagnostics and capacity planning in multi-DRAM configurations.

Activity

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Quality Metrics

Correctness81.6%
Maintainability80.0%
Architecture78.4%
Performance63.4%
AI Usage20.0%

Skills & Technologies

Programming Languages

C

Technical Skills

Driver DevelopmentEmbedded SystemsFirmware DevelopmentMemory ManagementSMBIOS ParsingSystem Architecture

Repositories Contributed To

1 repo

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

NVIDIA/edk2-nvidia

Feb 2025 Aug 2025
4 Months active

Languages Used

C

Technical Skills

Embedded SystemsFirmware DevelopmentMemory ManagementSMBIOS ParsingSystem ArchitectureDriver Development