Jeffrey Sarnoff
Editor In Chief at IEEE P3109 Arithmetic for Machine Learning
New York, New York, United States
Summary
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Rockstar🎓
Top SchoolJeffrey Sarnoff is an experienced technology executive and standards leader with over 13 years of current professional activity and a decades-long career spanning software architecture, product strategy, and entrepreneurship. As Vice Chair of the IEEE 754-2029 working group and Editor-in-Chief/Secretary for IEEE P3109, he shapes floating-point and ML arithmetic standards while also running Diadem Special Projects as President. He contributes to core language development and QA for the high-profile Julia project, implementing language features and rigorous test coverage. With an MBA from Cornell and early roles at Atari and Time Warner, he blends academic teaching, venture vetting, and hands-on engineering across systems and numerical computing. Notably, his work sits at the intersection of standards, language design, and practical implementation—helping translate formal arithmetic specifications into tested, usable code.
13 years of coding experience
7 years of employment as a software developer
MBA, growing tech firms, MBA, growing tech firms at Johnson School of Management at CornellBA, Computer Science, Psychology, BA, Computer Science, Psychology at Bennington CollegeComputer Speech, Sociology, Computer Speech, Sociology at Stanford University
Stackoverflow
1,687reputation
44kreached
30answers
3questions
julia
top-5%
Github Skills (14)
julia10
testing10
numerical-methods9
programming-language9
language-design9
common-library8
debug8
debugging8
core-library8
standard-library8
scientific-computing8
keyword-argument6
matrix6
multidimensional-arrays6
Programming languages (15)
Github contributions (5)
JuliaLang/julia
Aug 2012 - Oct 2022
The Julia Programming Language
Role in this project:
Back-end Developer & QA Engineer
Back-end Developer & QA EngineerContributions:15 reviews, 16 commits, 36 PRs in 10 years 3 months
Contributions summary:Jeffrey primarily contributes to the Julia programming language repository, focusing on core language features and testing. Their contributions involve implementing new features, such as the `nans` keyword in the `isapprox` function, and extending existing functionality. The user is also involved in fixing bugs and writing test cases to ensure the quality and reliability of the language. Several commits involve modifications across multiple files, indicating a broad understanding of the codebase.
sciencejulia-languagemachine-learningjulialangpetsc
JuliaPraxis/Metaprogramming
Oct 2016 - Mar 2017
Contributions:9 commits, 8 pushes, 1 branch in 5 months
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