โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
โ โ
โ โฏ whoami โ
โ โ
โ Name โโ Pฤฑnar Topuz โ
โ Role โโ Full-Stack and Backend Engineer โ
โ Focus โโ Scalable APIs ยท System Design ยท Clean Architecture โ
โ Stack โโ Go ยท .NET 8 ยท Next.js ยท TypeScript ยท PostgreSQL โ
โ Approach โโ Architecture-first. Build systems, not demos. โ
โ Location โโ Samsun, Turkey ๐น๐ท โ
โ Status โโ โ OPEN TO WORK / โ BUILDING IN PUBLIC โ
โ โ
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
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I'm a Full-Stack and Backend Engineer who obsesses over system design, clean architecture, and developer experience. I don't just ship features โ I build foundations that scale. My backend work revolves around Go and .NET 8, designing RESTful APIs and event-driven services that are both performant and maintainable. On the frontend, I craft polished UIs with Next.js and TypeScript โ always with UX and performance in mind. Engineering values: Currently into:
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// engineer.go
package main
type Engineer struct {
Name string
Role string
Languages []string
Databases []string
DevOps []string
Mindset string
}
func NewEngineer() Engineer {
return Engineer{
Name: "Pฤฑnar Topuz",
Role: "Full-Stack and Backend",
Languages: []string{
"Go", ".NET/C#",
"TypeScript", "Python",
},
Databases: []string{
"PostgreSQL", "Redis",
},
DevOps: []string{
"Docker", "GitHub Actions",
"Vercel", "Nginx",
},
Mindset: "ship โ measure โ improve",
}
}
// Location: Samsun, Turkey ๐น๐ท
// Status: โ open to work |
๐ go-eventra
A full-featured auth system architected for real-world scale. Clean separation of concerns, middleware chain design, and a React frontend that communicates via typed API contracts. Highlights:
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A fully integrated CRM built design-first. Every screen was designed before a single component was written. The result is a cohesive product with a real user experience. Highlights:
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A reference architecture for production .NET APIs. Structured logging, health checks, containerization, and a CI/CD pipeline ready to drop into any team. Highlights:
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A research project combining domain knowledge with machine learning. ARIMA-based forecasting with custom feature engineering rooted in physical constraints. Highlights:
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"First, solve the problem. Then, write the code."
