Arvyd Paeglit

Chief Technology Officer at Golden Ratio Group

Lugano Metropolitan Area Switzerland
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Summary

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Rockstar
🎓
Top School
Arvyd Paeglit is a business-first CTO and product engineering leader with over a decade of experience translating aggressive revenue goals into resilient systems and market-leading products. He has repeatedly built and scaled engineering organizations—from founding and growing Sailogy into a profitable, 60-person market leader to recruiting a 13-person remote R&D org and delivering a MiCA-compliant crypto platform. At Snyk he bridged AI research and enterprise value by turning DeepCode into Snyk Code, helping the product exceed ARR targets by 7x and doubling IDE adoption while driving enterprise-grade reliability. Hands-on in backend and security work, he has contributed to the widely used snyk/cli project, improving code-analysis integrations and concurrency performance. He is principled about security and regulatory compliance, viewing governance like MiCA and DORA as competitive advantages for institutional trust. Now based in Lugano, he’s seeking early-stage partnerships where he can own the what, why, and how to scale product, team, and revenue.
code11 years of coding experience
job10 years of employment as a software developer
bookBachelor Applied Mathematics, Bachelor Applied Mathematics at Dnipropetrovs'kij Nacional'nij Universitet
languagesEnglish, Ukrainian, Italian
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Github Skills (6)

security10
javascript9
api8
testing8
apidoc8
nodejs7

Programming languages (10)

TypeScriptC#JavaShellC++JavaScriptGoRuby

Github contributions (5)

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snyk/cli

Aug 2021 - Nov 2021

Snyk CLI scans and monitors your projects for security vulnerabilities.
Role in this project:
userBack-end & Security Engineer
Contributions:10 reviews, 14 commits, 16 PRs in 3 months
Contributions summary:Arvyd's contributions primarily focused on enhancing the Snyk CLI's integration with the Snyk Code analysis engine. They addressed bugs, added support for new features related to code analysis, and improved the handling of code analysis results. Moreover, the user refactored the code to remove deprecated arguments, refined the analysis process, and improved the performance of concurrency aspects within the code analysis functionality. These commits demonstrate a good understanding of the project's security scanning capabilities and back-end architecture.
clisecuritysnykvulnerabilitiesmonitor
DeepCodeAI/cli

Nov 2019 - Nov 2020

Command line interface for our public API
Contributions:17 commits, 23 PRs, 94 pushes in 1 year 1 month
command-line-interface
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