google/heir
Nov 2025 – Jun 2026
4 Months active
Languages Used
MLIRPythonC++
Technical Skills
Python developmentcryptographymatrix operationstestingAlgorithm DesignBazel build system
Edward Chen
PROFILE
Edward Chen
Over four months, this developer contributed to the google/heir repository by building advanced features for homomorphic encryption and tensor computation workflows. They implemented ILP-based bootstrap placement optimizations in MLIR and CKKS, enabling cost-aware ciphertext management and improved resource utilization. Their work included developing a flexible Rotom tensor layout with rolled dimensions, enhancing traversal order for efficient tensor manipulation. They also delivered end-to-end encrypted matrix multiplication tests and a MNIST testing framework using OpenFHE, strengthening regression safety and encrypted model evaluation. The engineering approach emphasized C++ and Python development, algorithm design, and reproducible, test-driven feature delivery without major bug remediation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
6
Lines of code
206,265
Activity Months4
Work History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for google/heir: Delivered ILP-based Bootstrap Placement Optimization for CKKS, extending the ILP model to level and scale state, edge and node rescale placement, annotated input/output management attributes, and an Orbit-style cost model loader. This work enhances performance and resource efficiency in CKKS mode, laying the groundwork for cost-driven placement strategies and better scale utilization.
1 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for google/heir: Delivered ILP-based Bootstrap Placement Optimization for CKKS, extending the ILP model to level and scale state, edge and node rescale placement, annotated input/output management attributes, and an Orbit-style cost model loader. This work enhances performance and resource efficiency in CKKS mode, laying the groundwork for cost-driven placement strategies and better scale utilization.
June 2026
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for google/heir. This period focused on feature development around Rotom's tensor layouts. Key delivery: Rotom Rolled Layout Representation, adding support for rolled dimensions and enhanced layout traversal order to enable flexible and optimized tensor computations. This work is captured in commit c98c0891890b674d13b2f4ee2cdad255ece019d7 with the message 'Rotom Rolled Layout Representation'. No major bugs are documented for this period. Impact: provides a flexible foundation for efficient tensor manipulation, enabling optimization opportunities for compute-heavy workloads and setting the stage for future performance improvements. Technologies/skills demonstrated: tensor layout design, dimensionality handling, incremental feature development with clear commit messages, and readiness for performance tuning in Rotom.
May 2026
1 Commits • 1 Features
May 1, 2026May 2026 monthly summary for google/heir. This period focused on feature development around Rotom's tensor layouts. Key delivery: Rotom Rolled Layout Representation, adding support for rolled dimensions and enhanced layout traversal order to enable flexible and optimized tensor computations. This work is captured in commit c98c0891890b674d13b2f4ee2cdad255ece019d7 with the message 'Rotom Rolled Layout Representation'. No major bugs are documented for this period. Impact: provides a flexible foundation for efficient tensor manipulation, enabling optimization opportunities for compute-heavy workloads and setting the stage for future performance improvements. Technologies/skills demonstrated: tensor layout design, dimensionality handling, incremental feature development with clear commit messages, and readiness for performance tuning in Rotom.
March 2026
4 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary for google/heir focusing on ILP-based bootstrap placement optimization for MLIR, a MNIST testing framework with OpenFHE, and the Rotom Layout dialect. This period delivered concrete automation for cost and ciphertext management, expanded encryption-enabled testing, and new architectural support to improve HEIR project capabilities.
4 Commits • 3 Features
Mar 1, 2026March 2026 monthly summary for google/heir focusing on ILP-based bootstrap placement optimization for MLIR, a MNIST testing framework with OpenFHE, and the Rotom Layout dialect. This period delivered concrete automation for cost and ciphertext management, expanded encryption-enabled testing, and new architectural support to improve HEIR project capabilities.
March 2026
November 2025
1 Commits • 1 Features
Nov 1, 2025November 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
1 Commits • 1 Features
Nov 1, 2025November 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.
Activity
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Quality Metrics
Correctness91.4%
Maintainability80.0%
Architecture91.4%
Performance80.0%
AI Usage42.8%
Skills & Technologies
Programming Languages
C++MLIRPython
Technical Skills
Algorithm DesignBazel build systemC++C++ DevelopmentC++ developmentHomomorphic encryptionMLIROptimization TechniquesPython developmentPython scriptingPython testingTensor Manipulationalgorithm designcompiler designcryptography
Repositories Contributed To
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