Yosif Yosifov is a Staff Software Engineer and engineering leader with 13 years of experience designing cloud products and distributed systems from Bulgaria. He has scaled teams and processes at high-growth startups—growing an engineering division from 5 to 25 people—and blends hands-on engineering with people leadership. Technically fluent across Node.js/TypeScript, AWS/Terraform, React/React Native and performance-focused backend work, he has deep experience optimizing high-load systems and CI/CD pipelines. As a co-founder and former CTO he shipped AI-driven products that integrate with CRMs like HubSpot and Salesforce, and earlier contributed to the widely used NativeScript CLI improving mobile build workflows. Known for a can-do but humble approach, he continuously seeks incremental improvements, structured processes, and practical innovations that accelerate product-market fit. He pairs entrepreneurial drive with an engineer’s curiosity rooted in a CS degree from Sofia University.
13 years of coding experience
18 years of employment as a software developer
Batchelor Computer Science, Batchelor Computer Science at Sofia University St. Kliment Ohridski
Command-line interface for building NativeScript apps
Role in this project:
Mobile Developer (Android/iOS)
Contributions:36 commits, 79 PRs, 82 pushes in 2 months
Contributions summary:Yosif primarily contributed to the NativeScript CLI, a command-line interface for building cross-platform mobile applications. Their work focused on bug fixes related to platform-specific commands like "clean" and integration with the build process, and resolving issues around the build process. The user added tests and made improvements for the iOS and Android build processes by improving functionality, and adding support for custom entitlements files.
A Cross-Platform Image Viewer based on Electron + Angular 4 + TypeScript
Contributions:1 release, 73 commits, 11 PRs in 4 years 11 months
typescript-4electronimage-viewerviewerangular-4
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Yosif Yosifov - Staff Software Engineer at LogicStar AI