Daniel Beylkin
Software Engineering Director at Siemens EDA (Siemens Digital Industries Software)
Los Angeles Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolDaniel Beylkin is a software engineering director and applied mathematics PhD who builds high-performance scientific and engineering software integrating numerical analysis, fast PDE solvers, and numerical linear algebra. With nine years in industry leadership roles across Siemens EDA, Synopsys, Meta, and TSMC, he has shipped production solutions in computational lithography, electromagnetics, optics (two issued patents and another filed), and mmWave network planning. He is fluent in C/C++, Python, Fortran, and Matlab and has deep experience in inverse problems, optimization, and mixed-integer linear programming. Known for translating advanced algorithms from research into robust products, he also developed novel high-order time-space methods and tensor interpolative decomposition during his PhD under Vladimir Rokhlin. Based in Los Angeles, he combines academic rigor with pragmatic engineering to tackle large-scale simulation and imaging problems.
9 years of coding experience
9 years of employment as a software developer
California Institute of TechnologyDoctor of Philosophy (PhD) Applied Mathematics, Doctor of Philosophy (PhD) Applied Mathematics at Yale University
Github Skills (4)
mesh-network7
internet5
spectrum5
terraform2
Programming languages (2)
Github contributions (4)
dbeylkin/print
Mar 2017 - Mar 2017
Contributions:10 pushes, 1 branch in 16 days
terragraph/terragraph-planner
Aug 2022 - Sep 2022
The Terragraph Planner is developed for operators to plan and optimize a mesh network using Terragraph's 60 GHz mmWave technology
Contributions:2 releases, 71 reviews, 16 commits in 1 month
mesh-network
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