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
Maksym Surzhynskyi developed a Rust-based KMS Connector for the zama-ai/fhevm repository, focusing on secure decryption and key management between KMS Core and Arbitrum L2. His work established an event-driven architecture that coordinates L2 interactions and introduced a modular project structure supporting configurable wallet types, including AWS KMS. By implementing adapters for both L2 event handling and KMS Core communication, Maksym enabled robust integration and centralized configuration management. The solution emphasized reliability through comprehensive error handling and laid a strong foundation for future provider adapters, demonstrating depth in cryptography, configuration management, and event-driven system design within a blockchain context.
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
72 people
Work 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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