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SametYılmaz

A personal website about what I build, what I learn, and where I want to go next.

A portrait mascot representing Samet Yilmaz
qa.evaluate(response, guidelines)
compare(output, reference_docs)
annotate(data).for_ai_training()
rank(search_results).by_quality()
debug(network_config)
support(users).with_context()
The mascot working on a laptop

About

Background & Approach

I studied Computer Programming at Balikesir University, building a foundation in software while staying close to practical, hands-on problem solving.

During my IT internship at EKOS Electric, I was involved in day-to-day IT operations, including system setup and maintenance, troubleshooting, network configuration, and end-user support in a production environment.

Alongside that, I have worked on freelance AI and quality-focused projects, including conversational AI response evaluation, data annotation, and search engine quality improvement. Those experiences shaped how I approach problems, understand systems, and focus on building practical, usable solutions.

Selected Work

A selection of projects I've built.

Focused on turning ideas into usable products.

Streaming Tooling

FakeTruck Overlay

A real-time overlay system for IRL trucking streams, providing live route context with chat command integration and an admin interface for dynamic control.

  • Node.js
  • Express
  • WebSocket
  • Overlay UI
  • Chat Controls
  • Admin Panel
Unizone project homepage screenshot

Event Platform

Unizone

A platform to discover events, browse listings, view event details, and create your own. Designed for both users and organizers, with a simple structure for publishing and managing events.

  • Rails 8
  • PostgreSQL
  • Tailwind CSS
  • Devise
  • Pundit

Current Focus

Learning AI by using it.

These days I am focused on learning and understanding artificial intelligence, exploring vibe coding, following new developments, and testing how modern AI tools can support real building.

The goal is practical fluency: understand the concepts, use the tools, notice their limits, and turn experiments into better decisions.

Certificates

A growing record of AI learning.

A curated set of verified credentials across AI fundamentals, generative AI, Claude, agent workflows, and practical AI tooling.

9 credentials2 issuers5 tracks
IBM logo

3 verified credentials

AI FoundationsGenerative AI
  • AI Foundations

    AI Literacy

    Foundational AI knowledge covering how AI works, core concepts, enabling technologies, everyday applications, benefits, risks, and responsible use.

  • AI Foundations

    Artificial Intelligence Fundamentals

    Conceptual grounding in NLP, computer vision, machine learning, deep learning, chatbots, neural networks, AI ethics, and IBM Watson Studio workflows.

  • Generative AI

    Getting Started with Generative AI

    Generative AI fundamentals with practical large language model usage, risk awareness, AI ethics, and prompt guidance for IBM Granite scenarios.

Anthropic logo

6 verified credentials

ClaudeAI CodingAgentsAI Foundations
  • Claude

    Claude 101

    Introductory Claude training focused on understanding the assistant, using it effectively, and building better interaction habits.

  • AI Coding

    Claude Code 101

    Foundational training for Claude Code, covering the basics of working with an AI coding assistant in development workflows.

  • AI Coding

    Claude Code in Action

    Applied Claude Code training focused on using agentic coding workflows more effectively in real project contexts.

  • Agents

    Introduction to Agent Skills

    Introduction to skill-based agent workflows and how reusable instructions can shape more capable AI-assisted work.

  • Agents

    Introduction to Subagents

    Training on subagent concepts and how delegated AI workflows can support more focused, parallel, and structured work.

  • AI Foundations

    AI Fluency Framework & Foundations

    A foundations credential for building fluency with AI concepts, responsible usage, and practical interaction patterns.