Cuneyt Yesilkaya

Cuneyt Yesilkaya

Categories: Software Development

Service areas

  • Software Development - Online · Nationwide

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About

Senior Software Engineer with 13+ years of experience in enterprise software, specializing in Platform Engineering, Java, cloud technologies, and AI-powered developer platforms.

I build and maintain the shared engineering platform that enables development teams to deliver secure, scalable, and maintainable applications. My work includes frameworks, security, developer tooling, cloud enablement, and software infrastructure.

I'm also leading the adoption of AI by developing internal platforms powered by LLMs, RAG, AI Agents, and MCP to improve engineering productivity, incident investigation, technical knowledge discovery, and software development workflows.

Expertise:

  • Platform Engineering

  • Enterprise Architecture

  • Java-Spring Boot

  • Kafka

  • Python

  • OpenShift -Azure

  • CI/CD DevOps

  • AI Platforms - LLMs - RAG - AI Agents - MCP

Portfolio

Work 1 of 2

NearPro NL — Verified Local Experts Platform

NearPro helps people in the Netherlands find trusted local experts for home repairs, advice, and everyday services.

Customers can search by category and city, read reviews, view expert profiles, and get in touch directly. Experts can showcase their work, build reputation through customer feedback, and reach new clients beyond their personal network.

The platform is built for real local needs - simple to use, available in multiple languages, and focused on trust and transparency.

Work 2 of 2

Confluence Q&A Plugin (ZanMind) — Atlassian Marketplace

Turn Confluence into a living Q&A knowledge hub — without leaving your wiki.

I designed and built ZanMind Questions & Answers for Confluence, a native Atlassian Marketplace app that helps teams capture tribal knowledge, find answers faster, and reduce repeated questions in Slack and email.

The problem: Important answers live in chat threads, old pages, or one person's head. Confluence holds documentation, but teams still struggle to ask questions, discover solutions, and keep knowledge current.

What I delivered:

  • A clean Q&A interface inside Confluence for asking questions, posting answers, and accepting solutions

  • Tag-based organization and filtering so content stays discoverable as the library grows

  • Voting and accepted-answer flows to surface the best responses

  • Microsoft Teams and Slack notifications for new questions and answers

  • Admin controls for tags, teams, and notification settings from a centralized panel

Outcome: Teams get a single, searchable place for questions and answers — fully integrated with Confluence, so knowledge stays where people already work.

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