Jacqueline Nabaglo
Cryptography Engineer at Polygon Technology
Seattle, Washington, United States
Summary
🤩
Rockstar🎓
Top SchoolJacqueline Nabaglo is a Cryptography Engineer in Seattle with 11 years of experience blending software engineering, mathematics, and statistics to build production-grade cryptographic and ML systems. She has practical experience across the stack—from backend services and privacy-preserving record linkage at CSIRO Data61 to low-level numerical and field-arithmetic optimizations for zero-knowledge proof systems at Polygon. Her contributions to the plonky2 repo demonstrate deep performance engineering skills, including in-place FFTs and AVX2/NEON vectorization, and she has a keen eye for subtle arithmetic bugs. Comfortable moving between abstract statistical reasoning and highly optimized implementation, she also brings product-focused engineering from roles at Triplebyte and Ntropy. Colleagues rely on her to translate formal models into reliable, secure production code, and she’s known for squeezing extra performance out of tricky numerical kernels (and for an offbeat fondness for yogurt).
11 years of coding experience
3 years of employment as a software developer
Australian National University
English, Polish
Github Skills (11)
avx10
fftw10
finite-field10
proofs10
fft10
proof10
rust10
f10
bit-manipulation10
performance-optimization10
neon10
Programming languages (7)
Github contributions (5)
0xPolygonZero/plonky2
Aug 2021 - Dec 2022
Role in this project:
Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:232 reviews, 193 commits, 126 PRs in 1 year 4 months
Contributions summary:Jacqueline made significant contributions to optimizing the `plonky2` repository's performance, particularly focusing on bit-order reversal and field arithmetic operations within the context of a zero-knowledge proof system. Their work involved in-place FFTs and vectorized implementations using AVX2 and NEON instructions for Goldilocks field operations. The user also identified and addressed a bug in Crandall field addition, demonstrating a strong understanding of field arithmetic and low-level optimization techniques.
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