
Zhensong Song contributed to the google/heir repository by refactoring the ModArith dialect’s codebase, improving maintainability and preparing for future features through targeted code organization in C++ and MLIR. He then extended ModArith with CRT-based Residue Number System (RNS) support, enabling decomposition and interpolation in mod_switch and ensuring RNS compatibility across builds and dialects. In opencompl/lean-mlir, he resolved a compilation failure and enhanced type readability by adding human-readable names. His work demonstrated depth in compiler development, IR design, and type systems, resulting in broader arithmetic representation, improved build reliability, and clearer diagnostics for cryptography-related workloads.

June 2025 performance summary for google/heir and opencompl/lean-mlir. Key features delivered include ModArith: Add CRT-based RNS support with decomposition/interpolation in mod_switch, establishing RNS type support across builds, dialects, and verification. Major bugs fixed include SSA.Projects.ModArith.Examples compilation failure and adding human-readable Ty names. The project also completed a Copybara import to align repo standards. Overall impact: broader arithmetic representation, improved build reliability, and clearer diagnostics, enabling faster iteration on cryptography-related workloads and MLIR dialect enhancements. Technologies demonstrated: MLIR dialect extension, RNS/CRT arithmetic, decomposition/interpolation, build/verification integration, and codebase hygiene."
June 2025 performance summary for google/heir and opencompl/lean-mlir. Key features delivered include ModArith: Add CRT-based RNS support with decomposition/interpolation in mod_switch, establishing RNS type support across builds, dialects, and verification. Major bugs fixed include SSA.Projects.ModArith.Examples compilation failure and adding human-readable Ty names. The project also completed a Copybara import to align repo standards. Overall impact: broader arithmetic representation, improved build reliability, and clearer diagnostics, enabling faster iteration on cryptography-related workloads and MLIR dialect enhancements. Technologies demonstrated: MLIR dialect extension, RNS/CRT arithmetic, decomposition/interpolation, build/verification integration, and codebase hygiene."
Month: 2025-04 - Focused on improving maintainability and future feature readiness for the ModArith dialect in google/heir through a targeted code organization refactor.
Month: 2025-04 - Focused on improving maintainability and future feature readiness for the ModArith dialect in google/heir through a targeted code organization refactor.
Overview of all repositories you've contributed to across your timeline