Alexey Gavrikov

Moscow, Moscow, Russian Federation

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Summary

👤

Senior

Alexey Gavrikov is a Senior Software Engineer with roughly a decade of experience translating advanced physical chemistry and nanoscale modeling into robust scientific software for both industry and academia. He combines deep domain expertise in molecular interactions and semiconductor processing with strong algorithmic and systems skills in C/C++, Perl, C#, Fortran exposure, and Linux/Windows environments. At Lam Research he applies research-grade numerical modelling practices to production problems, drawing on a PhD-level background and a top-ranked MSU education. Alexey contributes to open-source tooling as a backend developer—most recently improving a calendar widget and UI navigation for an aiogram-based dialog framework—illustrating a pragmatic focus on clean refactors and usable interfaces. Known as a self-driven collaborator, he consistently delivers high-quality, well-tested code that bridges scientific rigor and engineering practicality.

9 years of coding experience

Github Skills (10)

application-framework10

app-framework10

telegram-bot-api10

web-framework10

windows-gui10

aiogram10

python10

calendars10

keyboard10

asyncio10

Programming languages (1)

Python

Github contributions (5)

Tishka17/aiogram_dialog

May 2021 - Jun 2021

GUI framework on top of aiogram

Role in this project:

Back-end Developer

Contributions:16 commits, 7 PRs in 1 month

Contributions summary:Alexey primarily focused on developing a date selection widget for a GUI framework built on top of aiogram. They implemented features for navigating through months and years using keyboard interactions, refining the widget's functionality through multiple iterations. The user refactored the code, improving its structure, and addressing minor issues, like import statements, for the calendar widget. The work included a scrolling group to facilitate UI interactions.

telegram-botpythonasynciofsmframework

fregat17/QUEEN

Sep 2022 - Oct 2024

QUEEN: a framework to generate quinable and efficiently editable nucleotide sequence resources

Contributions:5 pushes in 2 years 1 month

queensequenceeditablenucleotide-sequencebioinformatics

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