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Matthias J. Kannwischer

PROFILE

Matthias J. Kannwischer

Matthias developed memory- and performance-optimized cryptographic features across the pq-code-package/mldsa-native and mlkem-c-aarch64 repositories, focusing on low-level C and assembly programming. He introduced on-demand lazy unpacking for polynomial vectors, reducing RAM usage while maintaining correctness, and implemented incremental signature generation to lower stack consumption. Matthias enhanced CI pipelines with cross-platform benchmarking and RISC-V support, using GitHub Actions and YAML configuration to ensure robust testing and verification. He addressed memory-safety issues and linker warnings, improving portability and build reliability. His work demonstrated depth in algorithm optimization, formal verification with CBMC, and maintainability through documentation and packaging updates.

Overall Statistics

Feature vs Bugs

73%Features

Repository Contributions

21Total
Bugs
3
Commits
21
Features
8
Lines of code
2,950
Activity Months2

Work History

April 2026

16 Commits • 6 Features

Apr 1, 2026

April 2026 monthly summary focused on delivering measurable business value through memory- and performance-optimized code, strengthened verification and cross-platform CI, and maintainability improvements across two repositories (mldsa-native and mlkem-c-aarch64).

March 2026

5 Commits • 2 Features

Mar 1, 2026

March 2026: Delivered targeted improvements across two PQ code packages, focusing on RAM efficiency, API stability, and CI reliability. Implemented on-demand lazy unpacking to reduce RAM usage in REDUCE_RAM mode, while preserving correctness. Fixed critical memory-safety bug in AArch64 polyz_unpack to prevent buffer overreads. Resolved public API exposure and GNU-stack linker warnings to improve portability and build cleanliness. Re-enabled CI benchmarking across multiple hardware platforms to strengthen performance validation. Business impact includes lower memory footprints for large polynomials, more robust cross-platform builds, and higher confidence in performance metrics.

Activity

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Quality Metrics

Correctness95.2%
Maintainability87.6%
Architecture91.4%
Performance90.4%
AI Usage21.0%

Skills & Technologies

Programming Languages

AssemblyCMakefileMarkdownNixYAML

Technical Skills

API developmentAWSAssembly LanguageBenchmarkingC programmingC/C++ DevelopmentCBMCCI/CDContinuous IntegrationCross-Platform DevelopmentDevOpsDocumentationEmbedded systemsGitHub ActionsLinux

Repositories Contributed To

2 repos

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

pq-code-package/mldsa-native

Mar 2026 Apr 2026
2 Months active

Languages Used

AssemblyCMakefileMarkdownNixYAML

Technical Skills

C programmingassembly languagedata structureslow-level programmingmemory managementperformance optimization

pq-code-package/mlkem-c-aarch64

Mar 2026 Apr 2026
2 Months active

Languages Used

AssemblyCYAMLMarkdownNix

Technical Skills

API developmentAssembly LanguageBenchmarkingC programmingContinuous IntegrationCross-Platform Development