Antonio Musumeci
Distinguished Engineer, Executive Director, Senior Machine Learning & Systems Engineer at Morgan Stanley
Austin, Texas, United States
Summary
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Rockstar🎓
Top SchoolAntonio Musumeci is a distinguished engineering leader with 16+ years building low-level, systems, and distributed platforms at enterprise scale, currently heading Morgan Stanley’s firm-wide Machine Learning Research engineering team. He blends deep systems expertise in C/C++ and Erlang/OTP with practical MLOps strategy—bringing hardware, tooling, and policies together to productionize models across a large financial organization. His background spans performance engineering for high-frequency trading, container-based delivery systems, and logging/metrics platforms, reflecting a track record of architecting reliable, high-throughput infrastructure. An active open-source author in storage and emulation, he pairs hands-on coding with executive-level strategy and an appetite for prototyping novel AI/ML integrations. Based in Austin, he is known for translating research needs into operational services that scale securely and efficiently.
16 years of coding experience
20 years of employment as a software developer
BS Computer Science, BS Computer Science at New Jersey Institute of Technology
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Github Skills (200)
harddrive10
btrfs10
fuse10
rsync10
hashtable10
opcodes10
data-integrity10
templeos10
kodi10
filesystem10
subsonic10
php10
rclone10
vip10
command-line10
Programming languages (19)
Github contributions (5)
trapexit/wiiqt
Jul 2014 - Aug 2016
Contributions:6 commits, 2 pushes in 2 years 1 month
trapexit/3do-devkit
Jun 2021 - May 2022
A suite of tools for development of software for the 3DO Opera game console
Contributions:6 commits, 67 PRs, 137 pushes in 10 months
game-developmentretro
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