
Georgi Goranov contributed to the zama-ai/fhevm-backend repository by delivering core backend features and stability improvements for cryptographic verification and multi-tenant key management. He implemented asynchronous workflows and concurrency controls in Rust and Go, optimizing PostgreSQL connection pooling and AWS S3 integration for scalable ciphertext processing. Georgi enhanced observability with OpenTelemetry tracing and robust logging, while strengthening data integrity through schema migrations and error handling. His work included developing secure zk-SNARK proof pipelines, refining API endpoints, and improving test harnesses. The depth of his engineering ensured reliable, maintainable operations, addressing both performance and security requirements in a complex distributed system.
March 2025 monthly performance summary for zama-ai/fhevm-backend. This month focused on delivering core features for cryptographic verification, enhancing system reliability, and laying groundwork for scalable, observable operations. The team combined feature delivery with critical backend optimizations to drive business value through performance, security, and maintainability.
March 2025 monthly performance summary for zama-ai/fhevm-backend. This month focused on delivering core features for cryptographic verification, enhancing system reliability, and laying groundwork for scalable, observable operations. The team combined feature delivery with critical backend optimizations to drive business value through performance, security, and maintainability.
February 2025 — zama-ai/fhevm-backend: Delivered multi-tenant key management improvements, SNS task processing enhancements, and backend hardening. Key features: SNS continuous polling and initial draft for SNS task handling; PBS computations table migration; key fetch API enhancement for chain_id and tenant_id. Major bugs fixed across ciphertexts and ZK proofs handling, tenant-aware fetch paths, and serialization safety. Reliability and observability improvements include graceful shutdown, private_key initialization, gw-listener startup and logging, and testing harness enhancements. Impact: improved security, scalability, and business value through multi-tenant support, secure zkproof pipeline, and more reliable operations.
February 2025 — zama-ai/fhevm-backend: Delivered multi-tenant key management improvements, SNS task processing enhancements, and backend hardening. Key features: SNS continuous polling and initial draft for SNS task handling; PBS computations table migration; key fetch API enhancement for chain_id and tenant_id. Major bugs fixed across ciphertexts and ZK proofs handling, tenant-aware fetch paths, and serialization safety. Reliability and observability improvements include graceful shutdown, private_key initialization, gw-listener startup and logging, and testing harness enhancements. Impact: improved security, scalability, and business value through multi-tenant support, secure zkproof pipeline, and more reliable operations.
Monthly work summary for 2024-12 focusing on the zama-ai/fhevm-backend repository. Highlights include stability improvements in concurrency, observability enhancements via OpenTelemetry, and data integrity fixes that collectively increase reliability and business value.
Monthly work summary for 2024-12 focusing on the zama-ai/fhevm-backend repository. Highlights include stability improvements in concurrency, observability enhancements via OpenTelemetry, and data integrity fixes that collectively increase reliability and business value.

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