Albert Gafiyatullin
AI Compiler Engineer at Samsung Electronics
Moscow, Moscow, Russia
Summary
👤
Senior🎓
Top SchoolAlbert Gafiyatullin is an AI Compiler Engineer with 8 years of C++ experience focused on programming language runtimes, JITs and optimizing compilers for specialized hardware. He currently develops optimizing AI compilers for Samsung Exynos SoC NPUs and previously led JVM runtime and JIT work for the Elbrus VLIW processor, delivering significant startup and warmup improvements through tiered compilation and a custom fast compiler. His work blends low-level system programming with architecture-aware optimizations—examples include intrinsics for string/XML hotspots and platform-specific implicit null check reductions. Trained at Novosibirsk State University (BSc/MSc in Computer Science), he combines rigorous academic grounding with hands-on performance engineering for constrained-core and embedded-class CPUs. Notably, he has a track record of inventing practical compiler tiers tuned to VLIW characteristics that yield real-world boot and warmup gains.
8 years of coding experience
2 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Novosibirsk State University (NSU)
Github Skills (9)
kernel10
unix10
operating-system10
browser9
garbage-collector8
llvm7
compiler6
data-structure2
data-structures2
Programming languages (1)
Github contributions (5)
a-gafiyatullin/a-gafiyatullin
Jan 2023 - May 2026
Contributions:86 pushes, 2 branches in 3 years 5 months
a-gafiyatullin/NSU-FIT
Nov 2017 - Jan 2023
Contributions:2 PRs, 248 pushes, 9 branches in 5 years 3 months
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