Jonathan Saylor is an embedded systems and HPC engineer with 11+ years building hardware, firmware, and software solutions across defense, transportation, and AI workloads. He has led end-to-end development of FPGA-based PCIe mini devices for real-time data capture and novel features like wire degradation detection and LRU system fingerprinting, and now helps customers optimize AI/HPC stacks on AMD EPYC and Instinct hardware. Jonathan pairs low-level DSP, RF, and FPGA expertise with software engineering—driving FHE and NTT optimizations in OpenFHE and enabling hardware acceleration across GPUs, AVX, and ASICs. A proven technical leader and mentor, he has driven product roadmaps, CI/CD and verification practices, and secured significant business development wins. Based in Austin, he blends practical production scaling experience with open-source impact on a major homomorphic encryption library—highlighting a rare mix of algorithmic depth and hands-on hardware design.
This is the development repository for the OpenFHE library. The current version is 1.5.1 (released on April 10, 2026).
Role in this project:
Backend Developer
Contributions:8 commits in 4 months
Contributions summary:Jonathan's contributions primarily focused on the core implementation and optimization of the OpenFHE library, specifically related to homomorphic encryption. They made significant changes to the `DCRTPolyImpl` class, including inheriting from an interface and adding various methods such as `Clone`, `CloneTowers`, and operators. Additionally, the user introduced a `HexlDCRTPoly` class for HEXL-specific optimizations, further indicating a focus on performance and low-level improvements. Further contributions included the integration of v1.11.6 updates and fixes for Apple M1 processor builds.
Integer examples for OpenFHE library. Based off of https://gitlab.com/palisade/palisade-integer-examples
Contributions:5 commits in 5 months
integergitlabroot-finding
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