Hoyath Ali

On Device ML Performance at Apple

San Jose, California, United States
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Summary

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Senior
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Hoyath Ali is an on-device ML performance engineer based in San Jose with a focused track record of bringing efficient, low-latency machine learning to edge devices and production systems. With around six years of industry experience and a Master’s in Computer Science from UC Riverside, he has implemented quantization-aware and post-training optimization workflows, profiled models for constrained hardware, and contributed to distributed training and performance infrastructure. His background spans both finance-grade engineering at Goldman Sachs and applied ML roles at startups, evidencing an ability to translate research-grade models into robust, resource-conscious deployments. Now at Apple, he bridges model development and systems engineering to ensure real-time inference meets product constraints—an emphasis that reflects a rare blend of systems-level OS knowledge and practical edge ML expertise.
code5 years of coding experience
job5 years of employment as a software developer
bookHigh School Non Medical, High School Non Medical at Sri Chaitanya College of Education
bookMaster's degree Computer Science, Master's degree Computer Science at University of California, Riverside
bookSecondary school certificate (SSC), Secondary school certificate (SSC) at Sri Chaitanya Techno School
bookBachelor’s Degree Computer Science and Engineering, Bachelor’s Degree Computer Science and Engineering at Lovely Professional University
languagesEnglish, Hindi, Telugu, Urdu
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Github Skills (7)

android-permissions6
android6
account-management1
laravel-vue1
vuex1
vue1
laravel1

Programming languages (3)

CSSJavaScriptHTML

Github contributions (5)

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Contributions:44 commits, 3 pushes in 1 year
HotAli7/Hotali7

Dec 2020 - Jul 2022

Contributions:29 pushes, 1 branch in 1 year 6 months
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Hoyath Ali - On Device ML Performance at Apple