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Achievement: Pull Shark

Achievements

Achievement: Pull Shark

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@uludagai-club @uludagyazilimtoplulugu

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oguzhanhekimoglu/README.md

Oğuzhan Hekimoğlu

Software developer working on machine learning, computer vision, and LLM-based applications. Also building autonomous systems for unmanned ground vehicles.

I mostly work with Python — PyTorch, YOLO, Hugging Face and LangChain — with some JavaScript and C# on the application side.

Currently open to new opportunities — reach me at ogzhekimoglu@gmail.com or on LinkedIn.

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  1. AI-Decision-Debate-System AI-Decision-Debate-System Public

    Multi-agent decision support system where AI agents debate a topic over three rounds with evidence verification and confidence scoring. Local LLMs via Ollama, LangChain, PDF-based RAG.

    Python

  2. GitHub-LLM-Analyzer GitHub-LLM-Analyzer Public

    Chrome extension for AI-powered code analysis on GitHub — explain, quality-score, security-scan, and refactor any file or repo, 100% locally via Ollama (FastAPI backend).

    JavaScript

  3. FactoryPulse FactoryPulse Public

    Decision-support system analyzing CNC machine telemetry (7.5M rows) to detect issues, simulate OEE gains, forecast maintenance, and generate AI reports — FastAPI, DuckDB, scikit-learn, LangChain + …

    Python

  4. SmartPark-VLM-YOLO SmartPark-VLM-YOLO Public

    Streamlit app comparing VLM-only, YOLO-only, and hybrid approaches for parking-lot occupancy detection on the same image. Built with YOLO26 (PKLot) + NVIDIA LocateAnything-3B.

    Jupyter Notebook 1 1

  5. SmartWaste-IoT SmartWaste-IoT Public

    IoT system for municipal waste-collection verification and predictive fill estimation — ESP32 + RFID + GPS + LoRa telemetry with a Flask dashboard, anomaly detection, and route monitoring.

    Python

  6. Katip-AI Katip-AI Public

    Local AI desktop assistant for Gmail, Calendar, Drive and Docs, powered by Ollama (PyQt6).

    Python