Jack Workman
Engineer at Apple
Austin, Texas, United States
Summary
👤
Senior🎓
Top SchoolJack Workman is a Staff Systems Software Architect and engineer in Austin with 11 years’ experience building performance-sensitive systems at Apple and Intel, focused on orchestrating power, thermal, and graphics/compute interactions. He has progressed from graphics and parallel-compute roles into algorithm performance leadership and system-wide architecture, bringing a data-driven mindset from a UC Berkeley MIDS capstone that produced large-scale VAE and NLP projects. Comfortable across embedded RTOS, low-level C/C++, performance tooling, and machine learning pipelines, he blends deep systems debugging with applied data science to optimize real hardware. Notably, his early Intel internships produced enduring internal tools and recognition for improving GPGPU analysis workflows—evidence of a pragmatic builder who turns prototypes into long-lived engineering assets.
11 years of coding experience
11 years of employment as a software developer
Masters of Information and Data Science, Data Science, Masters of Information and Data Science, Data Science at UC Berkeley School of InformationComputer Science, Computer Science at Arizona State UniversityHigh School Diploma, High School Diploma at Arcadia High School
English
Github Skills (17)
team-project10
jack10
masters10
language-processing8
natural-language-processing7
science7
python7
nlp7
deep-learning6
machine-learning6
apply5
data-science5
deep-neural-networks4
android-camera3
camera3
Programming languages (2)
Github contributions (5)
workmanjack/workmanjack.github.io
Apr 2018 - Sep 2022
Contributions:41 pushes in 4 years 5 months
workmanjack/lyric-mood-classification
Oct 2018 - Jun 2019
UC Berkeley Masters of Information & Data Science | W266 Natural Language Processing with Deep Learning Group Project | Team: Cyprian Gascoigne, Jack Workman, Yuchen Zhang
Contributions:74 commits, 29 pushes, 1 branch in 7 months
pythonlanguage-processinguc-berkeleyberkeleynatural-language-processing
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