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erentorlak/README.md

Hi there, I'm Eren Torlak

Computer Engineer | AI Engineer

Recent Computer Engineering graduate from Gebze Technical University, specializing in artificial intelligence and machine learning. I develop innovative solutions in computer vision, natural language processing, and agentic AI systems for real-world applications.


🔬 Current Work

AI Intern at Baykar/Cezeri - Working on image enhancement techniques, custom CNN architectures real-time object detection models and small language models for edge inference and route planning.


🚀 Featured Projects

  • Multi-Agent Self-Reflective Coding Assistant RAG System - Advanced RAG system with intelligent query routing and self-evaluation capabilities using LangGraph.
  • CineMatch - Full-stack movie recommendation system combining collaborative filtering and content-based approaches with real-time user matching.

💻 Tech Stack

  • AI/ML: PyTorch, OpenCV, Scikit-Learn, Transformers, LangChain/LangGraph, CrewAi
  • Languages: Python, C/C++, SQL
  • Tools: Pandas, NumPy, Docker

📫 Connect With Me

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  1. Self-Reflective_Framework_Assistant_RAG Self-Reflective_Framework_Assistant_RAG Public

    My graduation project integrates a Self-RAG system to enhance adaptive framework support by leveraging internal knowledge bases or performing web searches. The system employs self-evaluation techni…

    Python 1

  2. CineMatch CineMatch Public

    Forked from kcanmersin/CineMatch

    Movie Recommendation, Film-buddy matching system.

    JavaScript 1

  3. CineChat CineChat Public

    Forked from emreOytun/CineChatRAG

    Movie recommendation app that uses RAG. It does metadata filtering using self-query retrieval.

    Python

  4. VisionTransformers VisionTransformers Public

    This repository contains vision transformers architecture and implementation for semantic segmentation tasks.

    Jupyter Notebook

  5. SalesForecastingWithDartsLGBM SalesForecastingWithDartsLGBM Public

    Time series forecasting

    Jupyter Notebook

  6. ScholarshipScoreRegression ScholarshipScoreRegression Public

    Is it possible to predict the score obtained in the evaluation of applications submitted to the Entrepreneurship Foundation?

    Jupyter Notebook