Geoff Langdale
Chief Cybersecurity Architect And Principal Engineer at Intel Corporation
Sydney, New South Wales, Australia
Summary
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Rockstar🎓
Top SchoolGeoff Langdale is a Chief Cybersecurity Architect and Principal Engineer based in Sydney with over eight years of experience specializing in high-performance, low-level systems—particularly regex/pattern matching, SIMD algorithms, and parsing. He led and continues to drive the Hyperscan project and contributed performance-critical SIMD JSON parsing improvements to simdjson, a library used by major projects like Facebook/Meta Velox and Node.js. An ex-Intel principal engineer and former CTO of Sensory Networks, he blends research-grade algorithm design (PhD, Carnegie Mellon) with hands-on microarchitectural optimization to squeeze every cycle of useful work from hardware. Geoff also experiments with columnar lookups and tree-based ML models, maintains a technical blog, and prefers to work remotely from Sydney rather than relocate.
8 years of coding experience
8 years of employment as a software developer
The University of SydneyPhD, Computer Science, PhD, Computer Science at Carnegie Mellon University
Stackoverflow
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0reached
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Github Skills (19)
algorithm10
json-parser10
json10
algorithms10
c-language10
avx10
data-structure10
parsing10
performance-optimization10
data-structures10
simd10
cprogramming-language10
gcc-compiler9
clangd9
clang9
Programming languages (6)
Github contributions (5)
simdjson/simdjson
Apr 2018 - Apr 2019
Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
Role in this project:
Backend Developer & Performance Engineer
Backend Developer & Performance EngineerContributions:80 commits, 5 PRs, 20 pushes in 1 year
Contributions summary:Geoff primarily focused on optimizing the performance of the `simdjson` library by implementing and refining SIMD-based algorithms for JSON parsing. Their contributions include adding UNUSED macros, suppressing warnings from non-C++ flags, and implementing several stages of a processing pipeline. The code changes involve significant use of AVX2 intrinsics, showcasing expertise in SIMD programming. Furthermore, the user enhanced the codebase with the introduction of a unified code-based DFA and made substantial refactoring efforts to streamline performance.
node-graphsimdpythonavx512clang
geofflangdale/scans
Jun 2018 - Jul 2018
Contributions:24 commits, 22 pushes, 1 branch in 1 month
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