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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

An OBS browser-source overlay for IRL trucking streams, built around live RTIRL location data, route distance, ETA, cargo details, and moderator-friendly Kick chat controls.

  • Node.js 20
  • Express 5
  • WebSocket
  • RTIRL
  • OSRM
  • OpenStreetMap
  • SSE

Event Platform

Unizone

A Ruby on Rails event platform where users can discover, filter, attend, and submit events, while organizers and admins manage review, publishing, roles, and Etkinlik.io imports.

  • Ruby 3.4
  • Rails 8
  • PostgreSQL
  • Tailwind CSS
  • Hotwire
  • Devise
  • Pundit
  • Active Storage

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.

11

Credentials

3

Issuers

6

Tracks

  • IBM logo

    IBM

    AI Foundations

    AI Literacy

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

    AI conceptsEthicsBusiness use
  • IBM logo

    IBM

    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.

    Machine learningNLPWatson Studio
  • IBM logo

    IBM

    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.

    Generative AILLMsRisk awareness
  • Kodluyoruz logo

    Kodluyoruz

    AI Foundations

    IBM x Kodluyoruz: AI4Future Beginner Level

    A strong introductory program covering AI, machine learning, deep learning, and GenAI/LLM fundamentals alongside business use cases and practical limitations.

    AI foundationsGenAIAI ethics
  • Kodluyoruz logo

    Kodluyoruz

    Prompting

    Introduction to Prompt Engineering Workshop

    A hands-on workshop focused on writing effective prompts, improving output quality, and using generative AI tools more efficiently across daily life, education, and work.

    Prompt engineeringChatGPTCritical thinking
  • Anthropic logo

    Anthropic

    Claude

    Claude 101

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

    ClaudePromptingAI workflow
  • Anthropic logo

    Anthropic

    AI Coding

    Claude Code 101

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

    Claude CodeDeveloper toolsCoding workflow
  • Anthropic logo

    Anthropic

    AI Coding

    Claude Code in Action

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

    Agentic codingImplementationWorkflow
  • Anthropic logo

    Anthropic

    Agents

    Introduction to Agent Skills

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

    Agent skillsReusable contextAutomation
  • Anthropic logo

    Anthropic

    Agents

    Introduction to Subagents

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

    SubagentsDelegationParallel work
  • Anthropic logo

    Anthropic

    AI Foundations

    AI Fluency Framework & Foundations

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

    AI fluencyFoundationsResponsible use