Lev Solntsev
Moscow, Moscow, Russia
Summary
🤩
Rockstar🎓
Top SchoolLev Solntsev is a seasoned front-end engineer with over 15 years of experience building high-performance web applications and UIs for major Russian tech firms like Yandex, Badoo, and Tinkoff. He specializes in pragmatic refactoring, performance optimization and cross-browser compatibility, having shipped complex features from loan calculators to corporate SSO integrations and fixed hundreds of production bugs. An active open-source contributor, Lev made notable improvements to SVGO’s core path-processing and performance, including curve-to-arc conversions that reduce SVG size. He brings deep historical perspective on web platform evolution—having tracked trends from Netscape to modern WebAssembly—which informs practical choices and tooling tips (ask him about logpoints). Comfortable across React-like stacks, legacy codebases and build tooling, he is known for shrinking functions dramatically in code reviews while preserving clarity. Based in Moscow, he combines engineering craft with a knack for squeezing measurable business value out of frontend work.
15 years of coding experience
12 years of employment as a software developer
Национальный Исследовательский Ядерный Университет "МИФИ"
Английский
Stackoverflow
16reputation
606reached
2answers
0questions
Github Skills (16)
minification10
path-manipulation10
javascript10
performance-optimization10
algorithms9
command-line-interface8
cli8
data-structures8
command-line8
data-structure8
gulp6
gulp-imagemin6
foreach6
svg6
imagemin6
Programming languages (9)
Github contributions (5)
svg/svgo
Jul 2014 - Nov 2019
⚙️ Node.js tool for optimizing SVG files
Role in this project:
Back-end Developer & Performance Engineer
Back-end Developer & Performance EngineerContributions:29 releases, 9 reviews, 374 commits in 5 years 4 months
Contributions summary:Lev significantly contributed to optimizing the `svgo` project's core functionality, focusing on path data manipulation and performance improvements. They implemented optimizations to path data, including converting curves to arcs, which likely reduced file sizes. Additionally, the user enhanced the precision and efficiency of calculations within the path processing algorithms. They also improved the stringification and formatting of path data.
svgosvgnode-jsjavascriptoptimization
GreLI/svgo
May 2015 - May 2015
Contributions:2 commits, 260 pushes, 6 branches in 6 days
svgosvgvector-graphicsnodejsvector
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