Ariel Faigon
Los Altos, California, United States
Summary
🤩
RockstarAriel Faigon is a seasoned software architect and machine learning generalist with over a decade of experience spanning bare-metal and embedded systems to compilers, Unix libraries, web applications, and data science. Based in Los Altos, he blends deep systems programming (C/C++, Python, Perl, FreeBSD/GNU/Linux) with practical AI/ML work, including notable contributions to the high-impact open-source Vowpal Wabbit project focused on online learning and reductions. He excels at turning large datasets into actionable insights, building user-friendly tools people enjoy, and applying data-driven decision making rather than intuition. A committed mentor and educator, Ariel favors reproducible, open-source solutions and continuous improvement. An interesting detail: his background uniquely spans both low-level systems engineering and cutting-edge ML algorithm implementation, allowing him to optimize models with production-grade efficiency.
11 years of coding experience
Spanish, Hebrew, English, Arabic
Stackoverflow
5,892reputation
671kreached
89answers
5questions
unix
top-5%
classification
top-5%
delimiter
top-5%
machine-learning
top-5%
Github Skills (21)
c-language10
elearning10
machine-learning10
cpp10
cprogramming-language10
unix9
classification9
delimiter9
active-learning9
bandit8
searching7
reinforcement-learning7
logistic-regression6
bash6
grep6
Programming languages (13)
Github contributions (5)
VowpalWabbit/vowpal_wabbit
Jan 2016 - May 2022
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Role in this project:
ML Engineer
ML EngineerContributions:40 commits, 67 PRs, 25 pushes in 6 years 4 months
Contributions summary:Ariel primarily contributed to the core machine-learning aspects of the Vowpal Wabbit project. Their commits focused on implementing and modifying machine learning algorithms and related features. The code changes involve adjustments to core files related to online learning and reductions, including a new `marginal` feature and adjustments to the `gd.cc` file. The user also made adjustments to the demonstration and testing of the system.
machine-learningvowpal-wabbitc-plus-plusonline-learningcontextual-bandits
arielf/scripts
Oct 2015 - Dec 2022
various useful scripts I use on a daily basis
Contributions:31 commits, 4 PRs, 51 pushes in 7 years 3 months
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