Laszlo Kindrat
Greater Boston United States
Summary
🤩
Rockstar🎓
Top SchoolLaszlo Kindrat is a self-taught software engineer and technical lead specializing in AI software infrastructure, with ~3 years of focused industry experience building ML compilers, runtimes, and kernel libraries across devices from IoT to large-scale GPUs. At Modular he led the Mojo Libraries team and spearheaded design efforts to make composable, high-performance standard library abstractions while improving the language's core type system and shepherding open-source collaboration. His prior roles at Luminous Computing and XMOS involved compiler front- and middle-end development, TF/TFRT integration, and production runtimes, reflecting deep end-to-end expertise in ML toolchains. He also has hands-on experience training deep learning models for audio and physiological signals and a PhD-level background in applied mathematics with a focus on elasticity, which informs his rigorous approach to numerical and systems-level problems.
3 years of coding experience
3 years of employment as a software developer
Bachelor of Science - BS, Mechatronics, Excellent, GPA 4.58/5.00, Bachelor of Science - BS, Mechatronics, Excellent, GPA 4.58/5.00 at Budapest University of Technology and EconomicsDoctor of Philosophy - PhD, Applied Mathematics, GPA 4.0, Doctor of Philosophy - PhD, Applied Mathematics, GPA 4.0 at University of New Hampshire
Hungarian, English, German
Github Skills (10)
mojo10
toolchain10
machine-learning10
programming-language10
modular10
ai10
clang10
llvm10
max10
compiler9
Programming languages (3)
Github contributions (4)
modular/max
Jun 2023 - Oct 2024
The Mojo Programming Language
Contributions:333 reviews, 22 PRs, 6 pushes in 1 year 3 months
aimachine-learningmodularmojoprogramming-language
modular/stack-pr
Oct 2024 - Oct 2024
A tool for working with stacked PRs on github.
Contributions:3 reviews, 1 comment in 1 day
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