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elifyagmurduran/README.md

welcome ☄️

hi, i’m yağmur — software engineer building intelligent systems ✨

bridging data, backend systems, and AI


about me 🌙

i’m a software engineer with a background in computer science & engineering, currently finishing my master’s in software engineering.

my work focuses on designing systems that sit between raw data and intelligence — building pipelines that enrich, classify, and structure data using modern AI.

interests:

  • 🧠 llm & rag systems
  • 🗂️ vector databases & embeddings
  • 🏗️ ai data architectures
  • ☁️ cloud & distributed systems
  • 📊 scalable data workflows

currently building 🌑

🟣 rag-based product classification system
LLMvectoRAG-product-classifier

a modular AI enrichment pipeline designed to classify messy retail data into GS1 taxonomy standards.

features:

  • rag-based classification (LLM + FAISS)
  • vectorization of structured + unstructured data
  • configurable embedding pipelines
  • idempotent batch processing & resume logic
  • token tracking & cost monitoring
  • adaptable to multiple tools and datasets

♟️ chess engine (c++)
c-pp-hess

an object-oriented chess engine built to explore design patterns, game logic, and system structure.

features:

  • full chess rules implementation (movement, capture, game state)
  • object-oriented design with extensible architecture
  • separation of concerns between game logic and interface
  • focus on clean code, maintainability, and scalability
  • foundation for future AI or move-generation extensions

📝 full stack blog & e-commerce app (mern) (in progress)
mern-shop-app-react-mongodb

a full-stack MERN application combining content management and e-commerce functionality with modern web architecture.

features:

  • react-based frontend with dynamic routing
  • node.js + express backend with REST APIs
  • mongodb database integration for flexible data models
  • user authentication and session handling
  • product management and shopping flow (in progress)
  • scalable structure for extending into a full commerce platform

research & thesis 🔮

my master’s thesis focuses on:

  • retrieval-augmented generation (rag)
  • semantic classification systems
  • vector-based product intelligence
  • architecture design for ai enrichment pipelines

tech stack 🧰

languages
python c c++ c# .net java javascript sql r

backend & systems
fastapi node.js rest apis microservices system design

data & ai
llms rag faiss vector databases
etl/elt pipelines spark postgresql schema design

cloud & devops
azure docker ci/cd git cloud computing

frontend
react next.js


stats 🧹


find me here 🕯️

📍 bolzano, italy
💼 linkedin: https://www.linkedin.com/in/ya%C4%9Fmur-duran-645510182/
📫 email: elifyagmurduran@gmail.com

Pinned Loading

  1. LLMvectoRAG-product-classifier LLMvectoRAG-product-classifier Public

    RAG assisted LLM tool and vector embeddings creator for AI enrichment pipeline, to assign GS1 standard categories into messy product data. Fully configurable and adaptable to various tools. Version…

    Python

  2. llm-product-classifier-v1 llm-product-classifier-v1 Public

    AI enrichment pipeline for product category assignment, using Azure OpenAI.

    Python

  3. c-pp-hess c-pp-hess Public

    Chess in C++. Exercise in object oriented programming and design patterns.

    C++

  4. mern-shop-app-react-mongodb mern-shop-app-react-mongodb Public

    Full Stack E-commerce Website using React JS, MongoDB, Express JS, Node JS, Stripe and Razorpay.

    CSS

  5. get-the-credit-card get-the-credit-card Public

    Node.js kata - provides information about credit cards through API calls.

    JavaScript

  6. c-sharp-snake-game c-sharp-snake-game Public

    Retro snake game made in C#.

    C#