zama-ai/fhevm
Apr 2025 – Apr 2025
1 Month active
Languages Used
Rust
Technical Skills
AWS KMSArbitrumConfiguration ManagementCryptographyEIP-712Event-Driven Architecture
Maksym Surzhynskyi
PROFILE
Maksym Surzhynskyi
Developed a Rust-based KMS Connector for the zama-ai/fhevm repository, enabling secure decryption and key management between KMS Core and Arbitrum L2. The work introduced an event-driven architecture that coordinates L2 interactions and supports configurable wallet types, including integration with AWS KMS. Focus was placed on robust error handling and centralized configuration management to enhance reliability and maintainability. By implementing adapters for both L2 event handling and KMS Core interactions, the project established a scalable foundation for future provider adapters and expanded L2 integration. This effort leveraged expertise in Rust, cryptography, and event-driven systems to address secure blockchain workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
14,695
Activity Months1
Your Network
83 peopleWork History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary focusing on KMS integration work in the zama-ai/fhevm repository. The month centered on delivering a Rust-based KMS Connector that bridges KMS Core with Arbitrum L2, enabling secure decryption and key management via an event-driven architecture. The work established a robust foundation for L2 interactions, configuration management, and wallet-type adapters (including AWS KMS).
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary focusing on KMS integration work in the zama-ai/fhevm repository. The month centered on delivering a Rust-based KMS Connector that bridges KMS Core with Arbitrum L2, enabling secure decryption and key management via an event-driven architecture. The work established a robust foundation for L2 interactions, configuration management, and wallet-type adapters (including AWS KMS).
April 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Rust
Technical Skills
AWS KMSArbitrumConfiguration ManagementCryptographyEIP-712Event-Driven ArchitectureRustSmart ContractsWebSocketsgRPC
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