
Geli worked on the zkFold/symbolic repository, building cross-language cryptographic primitives and zero-knowledge proof infrastructure with a focus on Haskell and Rust integration. Over eight months, Geli delivered features such as ECDSA verification, KYC data validation, and Plonkup prover enhancements, emphasizing memory safety and efficient FFI between Rust and Haskell. The work included API schema generation, JSON serialization, and OpenAPI support to improve interoperability, as well as benchmarking and build system optimizations for reliable CI/CD. Geli’s engineering demonstrated depth in cryptography, build automation, and type-level programming, resulting in a maintainable, performant codebase ready for business integration.

October 2025 (2025-10) performance-focused month for zkFold/symbolic. Delivered a runtime optimization for FFT, MSM, and related benchmarks by reducing the number of samples and the maximum input size, resulting in shorter bench runtimes and faster iteration cycles. Affects div_fft_bench.rs, halo2_circuit_bench.rs, msm_bench.rs, and mul_fft_bench.rs. The change was implemented via commit 34e6cffd84afaba4c805263de5957107a6469ab2 with message "fix: reduce Rust benchmark samples."
October 2025 (2025-10) performance-focused month for zkFold/symbolic. Delivered a runtime optimization for FFT, MSM, and related benchmarks by reducing the number of samples and the maximum input size, resulting in shorter bench runtimes and faster iteration cycles. Affects div_fft_bench.rs, halo2_circuit_bench.rs, msm_bench.rs, and mul_fft_bench.rs. The change was implemented via commit 34e6cffd84afaba4c805263de5957107a6469ab2 with message "fix: reduce Rust benchmark samples."
September 2025 focused on API interoperability and performance visibility for zkFold/symbolic. Key deliveries include API schema and serialization support for Plonkup and related types with JSON serialization and OpenAPI generation, improving cross-language integration and API documentation. The CI was upgraded to run Rust benchmarks using cargo bench, and Rust bench stability was addressed to provide reliable performance signals. These efforts enhance client onboarding, documentation quality, and establish a solid baseline for future optimizations.
September 2025 focused on API interoperability and performance visibility for zkFold/symbolic. Key deliveries include API schema and serialization support for Plonkup and related types with JSON serialization and OpenAPI generation, improving cross-language integration and API documentation. The CI was upgraded to run Rust benchmarks using cargo bench, and Rust bench stability was addressed to provide reliable performance signals. These efforts enhance client onboarding, documentation quality, and establish a solid baseline for future optimizations.
Month: 2025-08 – zkFold/symbolic monthly summary focusing on key accomplishments, business value, and technical achievements. Key features delivered: - Rust FFI Build and CI Stabilization: switched to static Rust libraries, cleaned up build-related code, removed unused GT module to simplify the codebase, and added a CI job to verify Rust FFI integration. Commits: 9289ddfe45469a4be8819074448f43c8c0f50f3b; f94502c4b996065e90739b710ea7271bd3221685. - Simplify Plonkup by Removing Rust FFI Constraints: removed Rust FFI constraints and related dependencies from Plonkup, reducing cross-language coupling and simplifying maintenance. Commit: c9f33db110e5ca1c26fb4a650c199f0933cc5c04. Major bugs fixed: - Cabal Build Exposure and Minor Haskell Cleanup: exposed a necessary module in Cabal and refined the type signature in Univariate.hs to remove a redundant constraint, improving build reliability. Commit: 5d4b7be7f1ea3de88960d128f6480502bd8a993d. Overall impact and accomplishments: - Stabilized multi-language build and CI workflow, resulting in more reliable nightly builds and easier integration testing. - Reduced cross-language coupling between Rust and Haskell components, simplifying maintenance and future enhancements. - Cleaner, more maintainable codebase with fewer build-time regressions and improved onboarding for new engineers. Technologies/skills demonstrated: - Rust FFI, static linking, and CI integration; Rust tooling and build optimization. - Haskell, Cabal, and type-level improvements; build reliability and module exposure. - Cross-language integration, code cleanup, and build-system refactoring. Business value: - Faster, more reliable releases with lower maintenance cost; improved developer productivity and confidence in extending cross-language features.
Month: 2025-08 – zkFold/symbolic monthly summary focusing on key accomplishments, business value, and technical achievements. Key features delivered: - Rust FFI Build and CI Stabilization: switched to static Rust libraries, cleaned up build-related code, removed unused GT module to simplify the codebase, and added a CI job to verify Rust FFI integration. Commits: 9289ddfe45469a4be8819074448f43c8c0f50f3b; f94502c4b996065e90739b710ea7271bd3221685. - Simplify Plonkup by Removing Rust FFI Constraints: removed Rust FFI constraints and related dependencies from Plonkup, reducing cross-language coupling and simplifying maintenance. Commit: c9f33db110e5ca1c26fb4a650c199f0933cc5c04. Major bugs fixed: - Cabal Build Exposure and Minor Haskell Cleanup: exposed a necessary module in Cabal and refined the type signature in Univariate.hs to remove a redundant constraint, improving build reliability. Commit: 5d4b7be7f1ea3de88960d128f6480502bd8a993d. Overall impact and accomplishments: - Stabilized multi-language build and CI workflow, resulting in more reliable nightly builds and easier integration testing. - Reduced cross-language coupling between Rust and Haskell components, simplifying maintenance and future enhancements. - Cleaner, more maintainable codebase with fewer build-time regressions and improved onboarding for new engineers. Technologies/skills demonstrated: - Rust FFI, static linking, and CI integration; Rust tooling and build optimization. - Haskell, Cabal, and type-level improvements; build reliability and module exposure. - Cross-language integration, code cleanup, and build-system refactoring. Business value: - Faster, more reliable releases with lower maintenance cost; improved developer productivity and confidence in extending cross-language features.
July 2025 monthly summary for zkFold/symbolic: Delivered cross-language cryptographic primitives enhancements and prover performance improvements with a focus on reliability, memory safety, and maintainability. Business value centers on safer FFI across Rust and Haskell, robust Plonkup pipelines, and reduced technical debt through targeted code cleanup.
July 2025 monthly summary for zkFold/symbolic: Delivered cross-language cryptographic primitives enhancements and prover performance improvements with a focus on reliability, memory safety, and maintainability. Business value centers on safer FFI across Rust and Haskell, robust Plonkup pipelines, and reduced technical debt through targeted code cleanup.
Month: 2025-06 — Consolidated progress on zkFold/symbolic through Rust FFI enhancements and dynamic library support, delivering measurable improvements in performance, interop readiness, and build reliability. This period focused on optimizing data handling, expanding operations, and strengthening deployment workflows to accelerate integration with external apps and overall maintainability.
Month: 2025-06 — Consolidated progress on zkFold/symbolic through Rust FFI enhancements and dynamic library support, delivering measurable improvements in performance, interop readiness, and build reliability. This period focused on optimizing data handling, expanding operations, and strengthening deployment workflows to accelerate integration with external apps and overall maintainability.
Month 2025-03 highlights: Delivered broader base-version compatibility, stabilized important dependencies, and completed a comprehensive API refactor to support broader algebraic operations. These changes improved build reliability, broadened adoption across Haskell environments, and laid groundwork for downstream integration.
Month 2025-03 highlights: Delivered broader base-version compatibility, stabilized important dependencies, and completed a comprehensive API refactor to support broader algebraic operations. These changes improved build reliability, broadened adoption across Haskell environments, and laid groundwork for downstream integration.
February 2025 – zkFold/symbolic: Delivered cross-language support and stabilised the CI pipeline while cleansing core modules. Implemented JavaScript compilation for the symbolic-base library with a JavaScript Blake2b implementation and JS build targets, strengthened CI/CD workflows and tooling, and resolved critical import/type issues in core modules. These efforts improve cross-environment adoption, reliability, and maintainability, enabling faster, safer releases with broader runtime coverage and stronger code health.
February 2025 – zkFold/symbolic: Delivered cross-language support and stabilised the CI pipeline while cleansing core modules. Implemented JavaScript compilation for the symbolic-base library with a JavaScript Blake2b implementation and JS build targets, strengthened CI/CD workflows and tooling, and resolved critical import/type issues in core modules. These efforts improve cross-environment adoption, reliability, and maintainability, enabling faster, safer releases with broader runtime coverage and stronger code health.
November 2024 (2024-11) focused on advancing cryptographic primitives and practical workflows in zkFold/symbolic, with notable improvements in ECDSA verification, symbolic curve handling, and identity verification capabilities. The work established a stable foundation for secure signature verification and compliant data processing within symbolic environments.
November 2024 (2024-11) focused on advancing cryptographic primitives and practical workflows in zkFold/symbolic, with notable improvements in ECDSA verification, symbolic curve handling, and identity verification capabilities. The work established a stable foundation for secure signature verification and compliant data processing within symbolic environments.
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