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Summary

👤
Senior
Kamran Alipour is an ML Engineer at Apple with 11 years of experience building production ML systems that bridge research and product. His background spans a PhD in computer science from UC San Diego focused on explainable AI and single-image scene understanding to hands-on engineering of LLM-driven search, RAG, and generative-AI pipelines at Williams-Sonoma that increased engagement and streamlined product workflows. He has applied deep learning to medical imaging and real-time 3D scene understanding in industry internships, bringing rigorous evaluation and practical deployment know-how. Based in the San Francisco Bay Area, Kamran blends academic depth with product impact, notably translating stable-diffusion and novel recommendation architectures into retail-scale features. He’s as comfortable publishing and prototyping research ideas as he is shipping robust, user-facing ML products.
code12 years of coding experience
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Github Skills (20)

race-detector10
openmp10
dynamic-data10
modification10
benchmark9
instrumentation9
data-race9
multiple-versions8
hpc-applications7
steam6
configurations6
proton6
measurement6
performance-analysis3
archer3

Programming languages (3)

C++CPython

Github contributions (5)

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zygyz/spack

Sep 2019 - Aug 2022

A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Contributions:30 pushes, 1 branch in 2 years 11 months
compilersplatformspackage-managerdarwinconfigurations
zygyz/dyninst

Feb 2019 - Feb 2020

DyninstAPI: Tools for binary instrumentation, analysis, and modification.
Contributions:171 pushes, 7 branches in 1 year
static-analyzerinstrumentationreporteranalysismodification
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