lambdaclass/lambdaworks
Jan 2026 – Mar 2026
3 Months active
Languages Used
RustMetal
Technical Skills
RustRust programmingalgorithm designassembly optimizationcryptographydependency management
jotabulacios
PROFILE
Jotabulacios
Contributed to lambdaclass/lambdaworks by engineering cryptographic primitives and performance optimizations for zero-knowledge proof systems and backend infrastructure. Focused on Rust and Metal, the work included GPU-accelerated Poseidon2 Merkle trees, batch FFT optimizations using parallel computing, and RFC-compliant hash-to-curve implementations for BLS12-381. Enhanced reliability through robust error handling, dependency stabilization, and expanded fuzz testing. Developed interactive proof systems such as LogUp-GKR and IPA commitments, improving throughput and scalability for concurrent cryptographic workloads. Code quality was strengthened with benchmarking, test coverage, and documentation updates, resulting in faster, more secure computations and maintainable cryptographic workflows across CPU and GPU environments.
Overall Statistics
Feature vs Bugs
87%Features
Repository Contributions
17Total
Bugs
2
Commits
17
Features
13
Lines of code
197,443
Activity Months3
Your Network
14 peopleWork History
March 2026
4 Commits • 4 Features
Mar 1, 2026Concise monthly summary for Lambdaworks (March 2026). Delivered high-impact cryptographic capabilities and strengthened testing, enabling faster, more secure workloads for clients relying on zero-knowledge and cryptographic primitives. The month focused on GPU-accelerated cryptography, interactive proof systems, and RFC-compliant curve operations, with broad test coverage and quality improvements across features.
4 Commits • 4 Features
Mar 1, 2026Concise monthly summary for Lambdaworks (March 2026). Delivered high-impact cryptographic capabilities and strengthened testing, enabling faster, more secure workloads for clients relying on zero-knowledge and cryptographic primitives. The month focused on GPU-accelerated cryptography, interactive proof systems, and RFC-compliant curve operations, with broad test coverage and quality improvements across features.
March 2026
February 2026
7 Commits • 6 Features
Feb 1, 2026February 2026 focused on strengthening cryptographic readiness, performance, and reliability for Lambdaworks. Delivered key features including Poseidon2 hash on the Goldilocks field for ZK proofs, Batch LogUp-GKR proving/verification for concurrent instances, Batch FFT performance optimization via parallelization and the Bowers algorithm, and a clear coefficient representation cleanup by renaming canonical() for sparse polynomials. Also fixed GPU stability issues with empty input guards for evaluate_cfft/evaluate_cfft_gpu and Metal shader fixes to ensure reliable compute paths across platforms. These efforts improved throughput, scalability, and cryptographic readiness, with clearer code, better diagnostics, and more robust GPU workflows.
February 2026
7 Commits • 6 Features
Feb 1, 2026February 2026 focused on strengthening cryptographic readiness, performance, and reliability for Lambdaworks. Delivered key features including Poseidon2 hash on the Goldilocks field for ZK proofs, Batch LogUp-GKR proving/verification for concurrent instances, Batch FFT performance optimization via parallelization and the Bowers algorithm, and a clear coefficient representation cleanup by renaming canonical() for sparse polynomials. Also fixed GPU stability issues with empty input guards for evaluate_cfft/evaluate_cfft_gpu and Metal shader fixes to ensure reliable compute paths across platforms. These efforts improved throughput, scalability, and cryptographic readiness, with clearer code, better diagnostics, and more robust GPU workflows.
January 2026
6 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for lambdaclass/lambdaworks. Delivered performance and reliability improvements in cryptographic primitives, stabilized dependencies, and improved CI efficiency, translating to faster secure computations and more reliable releases. Highlights include targeted optimizations for elliptic curve operations and field arithmetic, bias-free sampling in cryptographic transcripts, and CI/test speedups.
6 Commits • 3 Features
Jan 1, 2026January 2026 monthly summary for lambdaclass/lambdaworks. Delivered performance and reliability improvements in cryptographic primitives, stabilized dependencies, and improved CI efficiency, translating to faster secure computations and more reliable releases. Highlights include targeted optimizations for elliptic curve operations and field arithmetic, bias-free sampling in cryptographic transcripts, and CI/test speedups.
January 2026
Activity
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Quality Metrics
Correctness96.4%
Maintainability83.4%
Architecture93.0%
Performance91.8%
AI Usage43.4%
Skills & Technologies
Programming Languages
MetalRust
Technical Skills
CryptographyFFTGPU ProgrammingMathematicsMerkle treesMetal ShadersParallel ComputingRustRust DevelopmentRust programmingalgorithm designalgorithm optimizationassembly optimizationbackend developmentbatch processing
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