Ash Vardanian

London, San Francisco, Yerevan, Armenia
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Summary

🤩
Rockstar
Ash Vardanian is a founder, researcher, and investor based in London with a decade of experience building high-performance search and multimodal systems. As Founder and "Benevolent Dictator For Life" of Unum he architects search across multilingual text, code, images, video, chemical compounds and biopolymer sequences, combining product vision with academic depth from AI and computational linguistics studies and a Wolfram ML stint. His open-source work—most notably StringZilla—shows hands-on performance engineering, delivering up to 10x speedups by leveraging AVX2/AVX-512, ARM NEON, SVE and SWAR for string, hashing and memory operations. He balances operator chops with capital deployment as a former managing partner of a family office and current venture partner, making late-stage deep-tech investments across Europe, Asia and the US. A former top-grossing iOS app founder and visiting lecturer in data science, he uniquely bridges low-level systems mastery, product execution, and strategic investing.
code10 years of coding experience
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Stackoverflow

Stats
434reputation
70kreached
9answers
21questions
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Github Skills (19)

benchmark10
c-language10
strings10
text-manipulation10
benchmarking10
string-algorithms10
performance-optimization10
c-programming-language10
assembler8
assembly8
rocksdb6
multithreading6
algorithm6
redis6
uiviewcontroller6

Programming languages (19)

C#JavaC++RustCVueGoHTML

Github contributions (5)

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ashvardanian/StringZilla

Aug 2020 - Jan 2023

Up to 10x faster strings for C, C++, Python, Rust, and Swift, leveraging NEON, AVX2, AVX-512, and SWAR to accelerate search, sort, edit distances, alignment scores, etc 🦖
Role in this project:
userBack-end Developer / Performance Engineer
Contributions:71 releases, 51 reviews, 40 commits in 2 years 5 months
Contributions summary:Ash's contributions primarily focus on optimizing string manipulation algorithms, specifically for C++ implementations. They developed three distinct C++ implementations for substring search, including a naive approach, one inspired by Rabin-Karp, and an AVX2 instruction set-based version. The user benchmarked the performance of these implementations, highlighting significant speed improvements. They also added optional AVX-512 and ARM Neon implementations and provided additional benchmarks, demonstrating a focus on performance and hardware-level optimization for string operations.
beautifulsoupcommon-crawlcsvdatasetinformation-retrieval
Contributions:93 pushes, 2 branches, 2 issues in 3 years 5 months
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Ash Vardanian