Naïssa Condé is a security researcher and software engineer with a decade of experience building secure, high-performance systems at Intel and Mobileye. She has deep hands-on expertise in blockchain and distributed ledger work—contributing to Hyperledger Sawtooth core ledger processing—and in autonomous driving platforms, including high-volume data ingestion and OTA update PoCs. Her background spans applied cryptography and post-quantum research from Georgia Tech to production integrations of Intel SGX and BitPay/Copay, reflecting a blend of research rigor and engineering pragmatism. Comfortable across firmware-to-cloud stacks, she pairs low-level debugging and performance tuning with system-level architecture and safety certifications for AV operation. Notably, her contributions to Sawtooth focused on improving transaction-dependency visibility and ledger reliability, an often-overlooked but crucial area for production blockchain robustness.
10 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Engineering, Master's degree, Computer Engineering at Georgia Institute of Technology
Contributions:43 commits, 35 PRs, 7 pushes in 1 year
Contributions summary:Naïssa primarily contributed to the `journal/journal_core.py` file, focusing on ledger functionality and transaction processing. They added logging statements for debugging and implemented counters to track missing transaction dependencies. The commits included the addition of statistics for missing dependencies and refactoring to fix lint errors and nomenclature. These modifications suggest a focus on ledger performance and debugging within the core Sawtooth framework.
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