
Worked on the hiero-ledger/hiero-sdk-cpp repository to enhance transaction processing by ensuring user-defined TransactionId values are preserved throughout the workflow. Addressed the need for deterministic identifiers by introducing a flag in the C++ codebase that prevents regeneration of TransactionId when explicitly set by users. This approach improved auditability and integration reliability, supporting compliant tracing and reducing the risk of identifier drift during reconciliation with external systems. The solution demonstrated careful handling of user input and regression-safe engineering, leveraging skills in C++ development, software engineering, and transaction management to deliver more reliable and traceable transaction workflows within the SDK.
Month 2025-11 – hiero-ledger/hiero-sdk-cpp: Focused on preserving user-defined TransactionId during transaction processing to improve auditability and integration reliability. Implemented a new flag to prevent regeneration of TransactionId when users explicitly set it, ensuring deterministic identifiers across processing and external system reconciliations. The change reduces ID drift risks and supports compliant tracing. Associated commit: d349aec5fdcfdbb8be119ae1aa6a27376f96ecb6 (fix(Transaction): prevent regeneration of manually set TransactionId (#1017)) by Atharva. This work demonstrates careful handling of user input, regression-safe changes, and improved end-to-end traceability for transaction workflows.
Month 2025-11 – hiero-ledger/hiero-sdk-cpp: Focused on preserving user-defined TransactionId during transaction processing to improve auditability and integration reliability. Implemented a new flag to prevent regeneration of TransactionId when users explicitly set it, ensuring deterministic identifiers across processing and external system reconciliations. The change reduces ID drift risks and supports compliant tracing. Associated commit: d349aec5fdcfdbb8be119ae1aa6a27376f96ecb6 (fix(Transaction): prevent regeneration of manually set TransactionId (#1017)) by Atharva. This work demonstrates careful handling of user input, regression-safe changes, and improved end-to-end traceability for transaction workflows.

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