
Edwin Chen developed end-to-end test coverage for chained matrix multiplication in the google/heir repository, focusing on validating encrypted and plaintext workflows using OpenFHE’s CKKS path. He implemented a test scenario where an encrypted matrix is multiplied by two plaintext matrices, leveraging 64x64 matrices with n=4096 to exercise both cryptographic and linear algebra code paths. The test configuration was generated with Rotom to ensure reproducibility and scalability. Using Python and MLIR, Edwin emphasized robust testing over bug fixing, strengthening regression safety for cryptographic routines and enabling more reliable performance and accuracy assessments for matrix operations in secure computation contexts.
November 2025: Delivered end-to-end testing for OpenFHE matrix multiplication in google/heir, validating encrypted-vs-plaintext workflows for chained operations. Added an end-to-end test for a @ b @ c with a encrypted and b, c plaintext, using 64x64 matrices and n=4096, with Rotom-generated layout for reproducible test configurations. This work strengthens regression safety for cryptographic matrix routines and enables more reliable performance/accuracy assessments. Note: No major bugs fixed this month; emphasis was on feature delivery and test coverage that drives business value.
November 2025: Delivered end-to-end testing for OpenFHE matrix multiplication in google/heir, validating encrypted-vs-plaintext workflows for chained operations. Added an end-to-end test for a @ b @ c with a encrypted and b, c plaintext, using 64x64 matrices and n=4096, with Rotom-generated layout for reproducible test configurations. This work strengthens regression safety for cryptographic matrix routines and enables more reliable performance/accuracy assessments. Note: No major bugs fixed this month; emphasis was on feature delivery and test coverage that drives business value.

Overview of all repositories you've contributed to across your timeline