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Mervecaliskann/README.md

Hi there, I'm Merve! 👋

🚀 Computer Vision & AI Engineer Master's Student in Data Science | Specializing in End-to-End AI Pipelines, Computer Vision, and Production-Ready LLM Applications.

  • 🎓 Currently pursuing MSc in Data Science (Expected Jan 2027).
  • 💡 Background in Electrical & Electronics Engineering.
  • 🏆 AI Engineer & CV Engineer for "Glossa" (LLM Jetpack Ideathon Winner).

🛠️ Tech Stack & Tools

🌟 Featured Projects

  • AI-Support-Pipeline: An end-to-end automated ticketing system using Llama-3, FastAPI, and PostgreSQL with a real-time analytics dashboard.
  • Video-RAG-AI-Search: Multimodal search engine for video content using CLIP embeddings and Vector Databases.
  • AI-Finance-Agent: Real-time financial analysis agent utilizing Tool Calling and Yahoo Finance API.

🌱 Current Focus

  • Advanced RAG Architectures (Agentic & Multimodal workflows).
  • MLOps: Scaling and deploying LLMs & CV models in production environments.

📫 Let's Connect:

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  1. AI-Support-Pipeline AI-Support-Pipeline Public

    An end-to-end AI support pipeline that automates ticket categorization, sentiment analysis, and priority assignment using FastAPI, Llama-3, and PostgreSQL with a real-time Streamlit dashboard.

    Python

  2. Video-RAG-AI-Search Video-RAG-AI-Search Public

    AI-powered Video Search Engine using Multimodal RAG. Search inside videos with natural language queries using OpenCV, CLIP embeddings, and Pinecone Vector Database.

    Python

  3. AI-Data-Analyst AI-Data-Analyst Public

    A hybrid AI agent for automated data cleaning. Combines Pandas for deterministic statistical profiling and Llama-3 for probabilistic reasoning and Python code generation.

    Python

  4. AI-Finance-Agent AI-Finance-Agent Public

    Real-time AI Financial Analyst Agent capable of fetching live stock market data and performing fundamental analysis using Tool Calling. Built with LangChain, Groq (Llama-3.3), and Yahoo Finance API.

    Python 1

  5. AI-Interview-Coach AI-Interview-Coach Public

    Dockerized AI Interview Coach powered by Llama-3, RAG, and Streamlit. Simulates technical interviews using voice interaction.

    Python

  6. Multi-Source-RAG-Application-with-LangChain-Google-Gemini Multi-Source-RAG-Application-with-LangChain-Google-Gemini Public

    This project demonstrates a powerful Retrieval-Augmented Generation (RAG) application built using Python, LangChain, and Streamlit. It enhances the capabilities of Google's Gemini LLM by providing …

    Python 1