zama-ai/tfhe-rs
Oct 2024 – Apr 2026
19 Months active
Languages Used
MakefileRustYAMLCJavaScriptMarkdownPythonShell
Technical Skills
Backend DevelopmentBuild ManagementCI/CDCryptographyRustRust Programming
Nicolas Sarlin
PROFILE
Nicolas Sarlin
Nicolas Sarlin developed core cryptographic infrastructure for the zama-ai/tfhe-rs repository, focusing on secure, performant homomorphic encryption and zero-knowledge proof systems. Over 19 months, he engineered features such as cross-version ciphertext compatibility, GPU-accelerated zk-proof workflows, and robust WebAssembly APIs, using Rust and JavaScript. His work included algorithmic optimizations, parallelization, and rigorous testing to ensure reliability and maintainability. By refactoring pipelines, enhancing parameter management, and strengthening CI/CD automation, Nicolas improved both developer experience and production safety. The depth of his contributions is reflected in the breadth of technical challenges addressed, from low-level cryptography to scalable, browser-based deployments.
Overall Statistics
Feature vs Bugs
78%Features
Repository Contributions
280Total
Bugs
27
Commits
280
Features
98
Lines of code
104,214
Activity Months19
Your Network
76 peopleWork History
April 2026
6 Commits • 2 Features
Apr 1, 2026Concise monthly summary for 2026-04 focusing on tfhe-rs contributions.
6 Commits • 2 Features
Apr 1, 2026Concise monthly summary for 2026-04 focusing on tfhe-rs contributions.
April 2026
March 2026
14 Commits • 3 Features
Mar 1, 2026March 2026 performance summary for zama-ai/tfhe-rs: Stabilized build, CI/CD, and deployment workflows; enhanced the WASM API usability; and improved data handling for efficiency and robustness. These changes reduce release risk, accelerate delivery of wasm-enabled features, and strengthen the correctness and reliability of cryptographic operations in WebAssembly.
March 2026
14 Commits • 3 Features
Mar 1, 2026March 2026 performance summary for zama-ai/tfhe-rs: Stabilized build, CI/CD, and deployment workflows; enhanced the WASM API usability; and improved data handling for efficiency and robustness. These changes reduce release risk, accelerate delivery of wasm-enabled features, and strengthen the correctness and reliability of cryptographic operations in WebAssembly.
February 2026
7 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for zama-ai/tfhe-rs. Focused on delivering WebAssembly-based parallel Multi-Scalar Multiplication (MSM) capabilities, web compatibility, and codebase hygiene improvements that collectively boost browser-based cryptographic performance and maintainability. Key features delivered: - wasm_par_mq crate introduced to enable parallel MSM in WebAssembly, enabling web workers, service worker coordination, and cross-origin testing to improve cryptographic performance in web environments. - Performance optimization for MSM in WASM, including wnaf-based optimizations for g2 MSM and integration of wasm-par-mq for proofs. Major bugs fixed / issues addressed: - Web compatibility and CI/testing issues stabilized for wasm_par_mq adoption, including perf commit type support, Firefox/Gecko driver alignment, and codebase modernization (deprecated list changes). No customer-facing bugs reported; improvements focused on test reliability and integration risk reduction. - Code hygiene improvements to reduce ambiguity and maintenance cost (rename unsafe_coop to cross_origin; deprecation of old heterogeneous lists). Overall impact and accomplishments: - Significantly improved web-based cryptographic performance and scalability by enabling parallel MSM in WebAssembly, expanding the feasible scope of browser-based privacy-preserving applications. - Reduced integration risk and improved deployment confidence through CI/test modernization and browser driver alignment. - Strengthened code clarity and future-proofing through naming and list-structure cleanup. Technologies/skills demonstrated: - WebAssembly, wasm_par_mq, and parallel MSM strategies - WNAF optimization for efficient MSM in wasm - Web CI/CD practices, Firefox/Gecko driver alignment, and test modernization - Code hygiene: API naming clarity and deprecation cleanup
7 Commits • 2 Features
Feb 1, 2026February 2026 monthly summary for zama-ai/tfhe-rs. Focused on delivering WebAssembly-based parallel Multi-Scalar Multiplication (MSM) capabilities, web compatibility, and codebase hygiene improvements that collectively boost browser-based cryptographic performance and maintainability. Key features delivered: - wasm_par_mq crate introduced to enable parallel MSM in WebAssembly, enabling web workers, service worker coordination, and cross-origin testing to improve cryptographic performance in web environments. - Performance optimization for MSM in WASM, including wnaf-based optimizations for g2 MSM and integration of wasm-par-mq for proofs. Major bugs fixed / issues addressed: - Web compatibility and CI/testing issues stabilized for wasm_par_mq adoption, including perf commit type support, Firefox/Gecko driver alignment, and codebase modernization (deprecated list changes). No customer-facing bugs reported; improvements focused on test reliability and integration risk reduction. - Code hygiene improvements to reduce ambiguity and maintenance cost (rename unsafe_coop to cross_origin; deprecation of old heterogeneous lists). Overall impact and accomplishments: - Significantly improved web-based cryptographic performance and scalability by enabling parallel MSM in WebAssembly, expanding the feasible scope of browser-based privacy-preserving applications. - Reduced integration risk and improved deployment confidence through CI/test modernization and browser driver alignment. - Strengthened code clarity and future-proofing through naming and list-structure cleanup. Technologies/skills demonstrated: - WebAssembly, wasm_par_mq, and parallel MSM strategies - WNAF optimization for efficient MSM in wasm - Web CI/CD practices, Firefox/Gecko driver alignment, and test modernization - Code hygiene: API naming clarity and deprecation cleanup
February 2026
January 2026
5 Commits • 2 Features
Jan 1, 2026January 2026 (2026-01) monthly summary for zama-ai/tfhe-rs: Delivered enhancements in test infrastructure, dependency stability, benchmark reliability, and documentation. Focused on stability, audit-compliance, and developer onboarding to accelerate safe releases and tooling improvements.
January 2026
5 Commits • 2 Features
Jan 1, 2026January 2026 (2026-01) monthly summary for zama-ai/tfhe-rs: Delivered enhancements in test infrastructure, dependency stability, benchmark reliability, and documentation. Focused on stability, audit-compliance, and developer onboarding to accelerate safe releases and tooling improvements.
December 2025
14 Commits • 5 Features
Dec 1, 2025December 2025 for zama-ai/tfhe-rs delivered comprehensive core robustness and safety enhancements for cryptographic primitives, expanded correctness testing, CI security improvements, performance benchmarking, and dependency stability. The work reduced edge-case risk, strengthened production reliability, and provided a clearer performance/quality signal for future optimizations. Key accomplishments include: - Core robustness and safety: implemented saturating arithmetic and overflow checks across core primitives, added zero-dimension handling, upgrade validation, and large data handling to prevent panics and incorrect results in edge cases. - TFHE testing and correctness updates: updated test vectors to version 0.2.0, added non-zero data assertions, and broadened coverage of cryptographic components. - CI workflow improvements: updated Git credentials handling in GitHub Actions for improved security and compatibility with action/checkout. - Benchmarking and performance enhancements: aligned WebAssembly and native benchmarks, added a production CRS bit-size benchmark, and extended the ZK proof benchmarking framework to enable more accurate performance insights. - Dependencies and build stability: synchronized bincode dependency versions across Cargo.toml to ensure compatibility and stability. Overall impact and business value: increased reliability and safety of cryptographic computations, faster and more accurate performance evaluation, improved CI security, and smoother production-readiness workflows. These changes reduce maintenance risk, enable more confident deployments, and provide clearer data to drive optimization priorities. Technologies/skills demonstrated: Rust, TFHE crate, edge-case safety patterns (saturating arithmetic, overflow checks), test automation and coverage, CI security practices, cross-context benchmarking, and dependency management.
14 Commits • 5 Features
Dec 1, 2025December 2025 for zama-ai/tfhe-rs delivered comprehensive core robustness and safety enhancements for cryptographic primitives, expanded correctness testing, CI security improvements, performance benchmarking, and dependency stability. The work reduced edge-case risk, strengthened production reliability, and provided a clearer performance/quality signal for future optimizations. Key accomplishments include: - Core robustness and safety: implemented saturating arithmetic and overflow checks across core primitives, added zero-dimension handling, upgrade validation, and large data handling to prevent panics and incorrect results in edge cases. - TFHE testing and correctness updates: updated test vectors to version 0.2.0, added non-zero data assertions, and broadened coverage of cryptographic components. - CI workflow improvements: updated Git credentials handling in GitHub Actions for improved security and compatibility with action/checkout. - Benchmarking and performance enhancements: aligned WebAssembly and native benchmarks, added a production CRS bit-size benchmark, and extended the ZK proof benchmarking framework to enable more accurate performance insights. - Dependencies and build stability: synchronized bincode dependency versions across Cargo.toml to ensure compatibility and stability. Overall impact and business value: increased reliability and safety of cryptographic computations, faster and more accurate performance evaluation, improved CI security, and smoother production-readiness workflows. These changes reduce maintenance risk, enable more confident deployments, and provide clearer data to drive optimization priorities. Technologies/skills demonstrated: Rust, TFHE crate, edge-case safety patterns (saturating arithmetic, overflow checks), test automation and coverage, CI security practices, cross-context benchmarking, and dependency management.
December 2025
November 2025
14 Commits • 6 Features
Nov 1, 2025November 2025 monthly summary for zama-ai/tfhe-rs focusing on business impact and technical achievements across core cryptographic tooling, WASM/Web performance, and CI efficiency.
November 2025
14 Commits • 6 Features
Nov 1, 2025November 2025 monthly summary for zama-ai/tfhe-rs focusing on business impact and technical achievements across core cryptographic tooling, WASM/Web performance, and CI efficiency.
October 2025
18 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for zama-ai/tfhe-rs focusing on delivering cross-version interoperability, performance, and maintainability. Highlights include KS32 parameter set support with ciphertext compression and new metaparameters, enhanced ZK proofs with versioned hash configurations and parallel verification, and stability/maintenance improvements such as unified LWE noise generation, parallel encryption fixes, thread-safety, MSRV standardization, and removal of outdated examples. These efforts deliver tangible business value: improved interoperability across software versions, faster and more reliable proof verification, and a cleaner, more maintainable codebase with clear upgrade paths.
18 Commits • 3 Features
Oct 1, 2025October 2025 monthly summary for zama-ai/tfhe-rs focusing on delivering cross-version interoperability, performance, and maintainability. Highlights include KS32 parameter set support with ciphertext compression and new metaparameters, enhanced ZK proofs with versioned hash configurations and parallel verification, and stability/maintenance improvements such as unified LWE noise generation, parallel encryption fixes, thread-safety, MSRV standardization, and removal of outdated examples. These efforts deliver tangible business value: improved interoperability across software versions, faster and more reliable proof verification, and a cleaner, more maintainable codebase with clear upgrade paths.
October 2025
September 2025
23 Commits • 8 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on TFHE-RS developments across code, docs, and CI. Highlights include robust feature delivery, major bug fixes, and improvements that boost stability, security, and release readiness.
September 2025
23 Commits • 8 Features
Sep 1, 2025Concise monthly summary for 2025-09 focusing on TFHE-RS developments across code, docs, and CI. Highlights include robust feature delivery, major bug fixes, and improvements that boost stability, security, and release readiness.
August 2025
25 Commits • 11 Features
Aug 1, 2025Monthly summary for 2025-08 focusing on deliverables, quality, and impact across the tfhe-rs project, with emphasis on security, correctness, and maintainability.
25 Commits • 11 Features
Aug 1, 2025Monthly summary for 2025-08 focusing on deliverables, quality, and impact across the tfhe-rs project, with emphasis on security, correctness, and maintainability.
August 2025
July 2025
13 Commits • 5 Features
Jul 1, 2025July 2025 monthly summary for zama-ai/tfhe-rs: Delivered practical cryptographic feature updates, stabilized GPU/backend usage, and strengthened development tooling to accelerate iteration, improve reliability, and enable external usage. Key outcomes include noise squashing compression enhancements, expanded AtomicPatternKind mappings, public API exposure for decrypt_no_decode with GPU-related documentation updates, and robust CI/benchmarking improvements, alongside versioning and dependency upgrades.
July 2025
13 Commits • 5 Features
Jul 1, 2025July 2025 monthly summary for zama-ai/tfhe-rs: Delivered practical cryptographic feature updates, stabilized GPU/backend usage, and strengthened development tooling to accelerate iteration, improve reliability, and enable external usage. Key outcomes include noise squashing compression enhancements, expanded AtomicPatternKind mappings, public API exposure for decrypt_no_decode with GPU-related documentation updates, and robust CI/benchmarking improvements, alongside versioning and dependency upgrades.
June 2025
17 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for zama-ai/tfhe-rs focusing on strengthening ZK testing, conformance reliability, data integrity, and hashing enhancements. Delivered robust test harness improvements, aligned backward-compatibility data and CI workflows, and introduced compact hashing mode for PKEv2, enabling maintainable, reliable cryptographic tooling and reduced production risk.
17 Commits • 3 Features
Jun 1, 2025June 2025 monthly summary for zama-ai/tfhe-rs focusing on strengthening ZK testing, conformance reliability, data integrity, and hashing enhancements. Delivered robust test harness improvements, aligned backward-compatibility data and CI workflows, and introduced compact hashing mode for PKEv2, enabling maintainable, reliable cryptographic tooling and reduced production risk.
June 2025
May 2025
15 Commits • 4 Features
May 1, 2025May 2025 monthly summary for zama-ai/tfhe-rs focused on delivering a robust, scalable cryptographic stack with improved encryption parameter management, performance improvements through GPU-based zk-proof workflows, and a strengthened CI/build pipeline. The work emphasizes business value through safer defaults, faster release cycles, and higher build reliability across GPUs/HPUs.
May 2025
15 Commits • 4 Features
May 1, 2025May 2025 monthly summary for zama-ai/tfhe-rs focused on delivering a robust, scalable cryptographic stack with improved encryption parameter management, performance improvements through GPU-based zk-proof workflows, and a strengthened CI/build pipeline. The work emphasizes business value through safer defaults, faster release cycles, and higher build reliability across GPUs/HPUs.
April 2025
13 Commits • 8 Features
Apr 1, 2025April 2025: Delivered a mix of feature work, reliability fixes, and tooling improvements for tfhe-rs, with clear business value in performance, stability, and API ergonomics. Highlights include the implementation of the Atomic Pattern framework for Shortint with KS32 tests to standardize homomorphic operation sequences; addition of NoiseSquashingKey from_raw_parts/into_raw_parts constructors to improve interoperability; refactoring PKEv2 verification to run in dedicated thread pools with bounded concurrency for better throughput; introduction of a skip attribute in the versioning macro to selectively exclude fields/variants from versioning; and a fix for compression of empty ciphertext lists with accompanying tests to ensure correct block counts and information storage. These changes enhance throughput, correctness, and API ergonomics, enabling faster iteration on encrypted computation features. Technologies demonstrated include Rust pattern design, safe API ergonomics, multi-threaded performance optimization, and versioned serialization strategies.
13 Commits • 8 Features
Apr 1, 2025April 2025: Delivered a mix of feature work, reliability fixes, and tooling improvements for tfhe-rs, with clear business value in performance, stability, and API ergonomics. Highlights include the implementation of the Atomic Pattern framework for Shortint with KS32 tests to standardize homomorphic operation sequences; addition of NoiseSquashingKey from_raw_parts/into_raw_parts constructors to improve interoperability; refactoring PKEv2 verification to run in dedicated thread pools with bounded concurrency for better throughput; introduction of a skip attribute in the versioning macro to selectively exclude fields/variants from versioning; and a fix for compression of empty ciphertext lists with accompanying tests to ensure correct block counts and information storage. These changes enhance throughput, correctness, and API ergonomics, enabling faster iteration on encrypted computation features. Technologies demonstrated include Rust pattern design, safe API ergonomics, multi-threaded performance optimization, and versioned serialization strategies.
April 2025
March 2025
19 Commits • 5 Features
Mar 1, 2025March 2025 monthly summary for zama-ai/tfhe-rs: - Key features delivered: Extended the high-level API with extended FheUint/FheInt to support larger integer sizes for cryptographic operations; added C API support for larger integer types (I1024/I2048/I512) to improve interoperability and data handling; increased benchmarking capabilities by enabling the pbs-stats feature in tfhe benchmarks for performance analysis; began a major generalized scalar types and cryptographic primitives refactor to support a wider range of scalars across modulus switching, bootstrapping, OPRF, LWE keyswitch, and related primitives, including addition of server keys, atomic patterns, compression, and testing utilities; CI tooling improvements to stabilize linting across newer compiler versions with a temporary disable/enable flow during transition.
March 2025
19 Commits • 5 Features
Mar 1, 2025March 2025 monthly summary for zama-ai/tfhe-rs: - Key features delivered: Extended the high-level API with extended FheUint/FheInt to support larger integer sizes for cryptographic operations; added C API support for larger integer types (I1024/I2048/I512) to improve interoperability and data handling; increased benchmarking capabilities by enabling the pbs-stats feature in tfhe benchmarks for performance analysis; began a major generalized scalar types and cryptographic primitives refactor to support a wider range of scalars across modulus switching, bootstrapping, OPRF, LWE keyswitch, and related primitives, including addition of server keys, atomic patterns, compression, and testing utilities; CI tooling improvements to stabilize linting across newer compiler versions with a temporary disable/enable flow during transition.
February 2025
7 Commits • 5 Features
Feb 1, 2025February 2025 monthly summary for zama-ai/tfhe-rs with a focus on expanding modulus support, reliability, and cross-language API coverage. Delivered generalization of the engine to support arbitrary ciphertext modulus, improved API safety, and prepared ground for dynamic pattern operations, while expanding integer type support across Rust and JS APIs and standardizing conformance parameter naming.
7 Commits • 5 Features
Feb 1, 2025February 2025 monthly summary for zama-ai/tfhe-rs with a focus on expanding modulus support, reliability, and cross-language API coverage. Delivered generalization of the engine to support arbitrary ciphertext modulus, improved API safety, and prepared ground for dynamic pattern operations, while expanding integer type support across Rust and JS APIs and standardizing conformance parameter naming.
February 2025
January 2025
15 Commits • 5 Features
Jan 1, 2025January 2025 monthly summary for zama-ai/tfhe-rs: Delivered ZK integration and benchmarking enhancements, parameter and noise tuning for shortint, crate version alignment, a numeric stability fix for zk-SNARKs, and comprehensive documentation/tooling improvements including data alignment for backward compatibility.
January 2025
15 Commits • 5 Features
Jan 1, 2025January 2025 monthly summary for zama-ai/tfhe-rs: Delivered ZK integration and benchmarking enhancements, parameter and noise tuning for shortint, crate version alignment, a numeric stability fix for zk-SNARKs, and comprehensive documentation/tooling improvements including data alignment for backward compatibility.
December 2024
29 Commits • 14 Features
Dec 1, 2024Month 2024-12 focused on advancing zk (zero-knowledge) integration, cleanup, and release readiness for tfhe-rs. Delivered key features including ZK v2 integration with compatibility updates, and a backward-compatible refactor to improve maintainability. Streamlined SPRNG/TFHE configurations by removing obsolete features and arch-specific flags to reduce maintenance burden and align with zk v2 readiness. Moved the RandomGenerator detector into tfhe-csprng for tighter integration, and prepared release 0.5.0 with updated artifacts and changelog. Strengthened code quality with linting improvements (dylint) and documentation clarifications. Enhanced Shortint parameter management and Gaussian parameter updates, plus new ZK test coverage. Fixed critical issues to support reliable rollout, including Versionize handling for ComputeLoadProofFields, TFHE lint fix, and ZK CRS validation. Demonstrated strong collaboration across crates, attention to release criteria, and a proactive approach to long-term maintainability.
29 Commits • 14 Features
Dec 1, 2024Month 2024-12 focused on advancing zk (zero-knowledge) integration, cleanup, and release readiness for tfhe-rs. Delivered key features including ZK v2 integration with compatibility updates, and a backward-compatible refactor to improve maintainability. Streamlined SPRNG/TFHE configurations by removing obsolete features and arch-specific flags to reduce maintenance burden and align with zk v2 readiness. Moved the RandomGenerator detector into tfhe-csprng for tighter integration, and prepared release 0.5.0 with updated artifacts and changelog. Strengthened code quality with linting improvements (dylint) and documentation clarifications. Enhanced Shortint parameter management and Gaussian parameter updates, plus new ZK test coverage. Fixed critical issues to support reliable rollout, including Versionize handling for ComputeLoadProofFields, TFHE lint fix, and ZK CRS validation. Demonstrated strong collaboration across crates, attention to release criteria, and a proactive approach to long-term maintainability.
December 2024
November 2024
22 Commits • 6 Features
Nov 1, 2024Concise monthly summary for 2024-11 focusing on key features delivered, major bugs fixed, and resulting business value. Highlights include cross-architecture zk proof testing, zk proof refactor for correctness, build and compatibility fixes enabling zk-pok without shortint, PKE core fix for single-LWE, performance-focused benches and release preparation, documentation and CI improvements, Arkworks dependency update, and extended ZK test suite with new compute_crs_params tests and bench coverage. These efforts improved reliability, security, and delivery velocity, enabling broader deployment of zk capabilities and facilitating a release (0.11.0) with enhanced benchmarks and tooling.
November 2024
22 Commits • 6 Features
Nov 1, 2024Concise monthly summary for 2024-11 focusing on key features delivered, major bugs fixed, and resulting business value. Highlights include cross-architecture zk proof testing, zk proof refactor for correctness, build and compatibility fixes enabling zk-pok without shortint, PKE core fix for single-LWE, performance-focused benches and release preparation, documentation and CI improvements, Arkworks dependency update, and extended ZK test suite with new compute_crs_params tests and bench coverage. These efforts improved reliability, security, and delivery velocity, enabling broader deployment of zk capabilities and facilitating a release (0.11.0) with enhanced benchmarks and tooling.
October 2024
4 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for zama-ai/tfhe-rs: Implemented ZK proof validation enhancements, cross-platform consistency improvements, and conformance testing; performed TFHE-rs version maintenance; delivered portability and tests; improved security correctness.
4 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for zama-ai/tfhe-rs: Implemented ZK proof validation enhancements, cross-platform consistency improvements, and conformance testing; performed TFHE-rs version maintenance; delivered portability and tests; improved security correctness.
October 2024
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Quality Metrics
Correctness94.2%
Maintainability92.2%
Architecture91.8%
Performance84.6%
AI Usage20.4%
Skills & Technologies
Programming Languages
CC++CBORCborEditorConfigHTMLJSONJavaScriptMakefileMarkdown
Technical Skills
API DesignAPI DevelopmentAPI VersioningAPI designAPI developmentAlgorithm ImplementationAlgorithm OptimizationAlgorithm implementationBackend DevelopmentBackward CompatibilityBackward Compatibility TestingBenchmarkingBuild AutomationBuild ConfigurationBuild Management
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