zama-ai/tfhe-rs
Feb 2025 – Feb 2026
8 Months active
Languages Used
RustC++ShellTOMLTclMakefilebash
Technical Skills
CryptographyHomomorphic EncryptionLow-level OptimizationNumber TheoryRust ProgrammingAPI Development
Baptiste Roux
PROFILE
Baptiste Roux
Baptiste Roux contributed to the zama-ai/tfhe-rs repository by engineering backend cryptographic features and hardware-accelerated operations over eight months. He developed and optimized HPU-backed integer operations, implemented secure computation primitives, and enhanced modulus switching to align software with hardware data paths. His work included performance benchmarking, deployment reliability improvements, and robust CI/CD integration, using Rust, C++, and shell scripting. Baptiste addressed data integrity through runtime checks and improved memory management by upgrading core dependencies. His technical approach emphasized maintainability and reliability, delivering features that advanced homomorphic encryption capabilities while ensuring the codebase remained stable, configurable, and production-ready.
Overall Statistics
Feature vs Bugs
75%Features
Repository Contributions
32Total
Bugs
4
Commits
32
Features
12
Lines of code
52,022
Activity Months8
Your Network
76 peopleWork History
February 2026
1 Commits
Feb 1, 2026February 2026 monthly summary for zama-ai/tfhe-rs focused on reliability improvements and tooling stabilization. No new user-facing features were delivered this month; primary work centered on hardening the HPU setup script for cross-environment reliability, improving automation and deployment consistency. The efforts reduced setup-time variability, improved fault detection, and strengthened the CI/CD readiness of the project.
1 Commits
Feb 1, 2026February 2026 monthly summary for zama-ai/tfhe-rs focused on reliability improvements and tooling stabilization. No new user-facing features were delivered this month; primary work centered on hardening the HPU setup script for cross-environment reliability, improving automation and deployment consistency. The efforts reduced setup-time variability, improved fault detection, and strengthened the CI/CD readiness of the project.
February 2026
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for zama-ai/tfhe-rs: Focused on performance and memory-management improvements in the TFHE HPU backend by upgrading the LRU cache dependency. The upgrade enhances memory footprint control and throughput under high-load scenarios and aligns with caro audit requirements. The work was implemented via a single commit that bumps the lru crate version, with the commit signed-off for traceability. There were no critical bug fixes this month; the emphasis was on stability, maintainability, and setting the stage for higher-scale workloads.
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary for zama-ai/tfhe-rs: Focused on performance and memory-management improvements in the TFHE HPU backend by upgrading the LRU cache dependency. The upgrade enhances memory footprint control and throughput under high-load scenarios and aligns with caro audit requirements. The work was implemented via a single commit that bumps the lru crate version, with the commit signed-off for traceability. There were no critical bug fixes this month; the emphasis was on stability, maintainability, and setting the stage for higher-scale workloads.
December 2025
2 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for zama-ai/tfhe-rs focusing on delivering secure computation capabilities and performance-driven configurability. Major work across CPU-level cryptographic primitives and adaptor-enabled ERC-20 implementations.
2 Commits • 2 Features
Dec 1, 2025December 2025 monthly summary for zama-ai/tfhe-rs focusing on delivering secure computation capabilities and performance-driven configurability. Major work across CPU-level cryptographic primitives and adaptor-enabled ERC-20 implementations.
December 2025
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for zama-ai/tfhe-rs: Delivered backend MSRV alignment by updating hw_regmap to 0.2.1 to match the Rust MSRV. This upgrade improves backend compatibility, enables newer hw_regmap features, and reduces upgrade risk. Commit f970031d33a87d9241ffc50f81fc5a423e28ab64 documents the dependency bump and rationale.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for zama-ai/tfhe-rs: Delivered backend MSRV alignment by updating hw_regmap to 0.2.1 to match the Rust MSRV. This upgrade improves backend compatibility, enables newer hw_regmap features, and reduces upgrade risk. Commit f970031d33a87d9241ffc50f81fc5a423e28ab64 documents the dependency bump and rationale.
July 2025
5 Commits • 2 Features
Jul 1, 2025July 2025 focused on delivering hardware-accelerated modulus switching improvements for the tfhe-rs project and ensuring build tooling remains reliable and up-to-date. Key outcomes include enabling centered modulus switching on the HPU backend, strengthening test and benchmarking capabilities, and restoring correctness in modulus switching mean compensation across paths. Maintained and modernized the development workflow with linting and Makefile improvements, and ensured dependencies are current to support ongoing development and performance gains.
5 Commits • 2 Features
Jul 1, 2025July 2025 focused on delivering hardware-accelerated modulus switching improvements for the tfhe-rs project and ensuring build tooling remains reliable and up-to-date. Key outcomes include enabling centered modulus switching on the HPU backend, strengthening test and benchmarking capabilities, and restoring correctness in modulus switching mean compensation across paths. Maintained and modernized the development workflow with linting and Makefile improvements, and ensured dependencies are current to support ongoing development and performance gains.
July 2025
June 2025
11 Commits • 2 Features
Jun 1, 2025June 2025 focused on delivering a robust HPU-backed operation suite and strengthening deployment reliability while safeguarding data integrity. Implemented a comprehensive set of HPU integer operations, added high-level API support, established performance benchmarks and tests, and prepared the groundwork for production use. Strengthened runtime data integrity with GID uniqueness checks in LUTs. Enhanced HPU backend deployment with hot-reloadable PDI loading on HPU V80 and dynamic path handling, alongside lint/CI improvements to reduce deployment risk.
June 2025
11 Commits • 2 Features
Jun 1, 2025June 2025 focused on delivering a robust HPU-backed operation suite and strengthening deployment reliability while safeguarding data integrity. Implemented a comprehensive set of HPU integer operations, added high-level API support, established performance benchmarks and tests, and prepared the groundwork for production use. Strengthened runtime data integrity with GID uniqueness checks in LUTs. Enhanced HPU backend deployment with hot-reloadable PDI loading on HPU V80 and dynamic path handling, alongside lint/CI improvements to reduce deployment risk.
May 2025
10 Commits • 3 Features
May 1, 2025May 2025 monthly summary for zama-ai/tfhe-rs focusing on delivering foundational HPU capabilities, simulator usability, and performance benchmarking. The month advanced cryptographic hardware-like processing with robust backend support, while ensuring reliability and measurable business impact through targeted fixes and benchmarks.
10 Commits • 3 Features
May 1, 2025May 2025 monthly summary for zama-ai/tfhe-rs focusing on delivering foundational HPU capabilities, simulator usability, and performance benchmarking. The month advanced cryptographic hardware-like processing with robust backend support, while ensuring reliability and measurable business impact through targeted fixes and benchmarks.
May 2025
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for zama-ai/tfhe-rs focusing on cryptographic bootstrapping enhancements and NTT optimizations. Delivered backend-level improvements to TFHE bootstrapping path, aligning software behavior with hardware-inspired data-paths and enhancing robustness for LWE bootstrapping with modular arithmetic.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for zama-ai/tfhe-rs focusing on cryptographic bootstrapping enhancements and NTT optimizations. Delivered backend-level improvements to TFHE bootstrapping path, aligning software behavior with hardware-inspired data-paths and enhancing robustness for LWE bootstrapping with modular arithmetic.
Activity
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Quality Metrics
Correctness90.0%
Maintainability87.4%
Architecture86.6%
Performance81.6%
AI Usage22.6%
Skills & Technologies
Programming Languages
C++MakefileRustShellTOMLTclbash
Technical Skills
API DevelopmentAPI designAssembly languageBackend DevelopmentBenchmarkingBuild System ConfigurationBuild SystemsC++CI/CDCode LintingCode refactoringCompiler designConfiguration ManagementCryptographyDebugging tools
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