I am a Computer Engineering student focused on building software with strong engineering foundations. My interests span backend development, data-oriented systems, AI-powered applications, and developer-facing tools. I care about creating systems that are not only functional, but also maintainable, observable, and built with clear architectural thinking.

Rather than treating software as a collection of isolated features, I approach it as a system that should remain understandable, reliable, and useful as it grows. I am especially interested in the intersection of software engineering, data, and applied AI, where solid system design can turn intelligent ideas into practical products.

• Backend systems with clear service boundaries and scalable architecture
• Data-driven applications that turn structured workflows into practical products
• AI-powered software built around retrieval, structured outputs, and real-world usefulness
• Automation platforms that improve reliability, visibility, and operational control
• Engineering-focused projects designed for clarity, maintainability, and long-term quality

A modular Retrieval-Augmented Generation (RAG) system designed for domain-focused knowledge workflows.

Focus areas: document ingestion, retrieval pipelines, structured response design, API-based serving, and trust-aware AI behavior.

A production-oriented Go backend project that demonstrates layered architecture and practical service design.

Focus areas: authentication, RBAC, middleware design, PostgreSQL, Redis, and maintainable backend patterns.

A secure automation platform for controlled execution of operational tools in local and remote environments.

Focus areas: policy-based execution, parameter validation, audit logging, RBAC, workflow visibility, and operational safety.

An open-source project aimed at helping beginners make meaningful first contributions through structured workflows.

Focus areas: contributor onboarding, collaboration standards, automation support, and maintainable repository practices.

A cross-platform language learning application developed with a product-oriented mindset.

Focus areas: user experience, maintainable application structure, and end-to-end product development.

My current technical direction is centered on building software at the intersection of:

• Backend engineering
• Data-oriented system design
• Applied AI and intelligent workflows
• Automation and developer tooling
• Reliable, observable, and maintainable software architecture

I am particularly drawn to systems where engineering discipline matters as much as feature delivery.

Languages
Python • Go • Java • C++ • Dart • SQL • Bash

Backend & Data
FastAPI • REST APIs • PostgreSQL • Redis

Testing & Automation
Pytest • Postman • Selenium • Playwright • Jenkins

Tools & Environment
Git • Docker • Linux • CI/CD

• Prefer systems that remain clear as they evolve
• Treat maintainability as a long-term advantage
• Build with operational reality in mind
• Value reliability over unnecessary complexity
• Use clear boundaries to keep software scalable
• Apply AI where it creates practical value

• Siemens Intern — worked on CI/CD workflows, Linux-based systems, automation processes, and engineering quality practices
• Insider Intern — contributed to backend development, test automation, and production-oriented software workflows

I am currently deepening my work in backend systems, data-oriented applications, and AI-based software design. My goal is to build software that combines solid engineering with practical usefulness — systems that are well-structured, dependable, and designed for real environments rather than temporary demos.

• LinkedIn: linkedin.com/in/abdullahoztoprak
• GitHub: github.com/AbdullahOztoprak