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turancannb02/README.md

Hi there, I'm Turan 👋

🔭 What I'm working on

  • Multi-agent coordination systems for real-time network optimization (Master's thesis)
  • LLM tool-use integrations with structured outputs and validation layers
  • Reproducible ML experiment pipelines and evaluation workflows

🌱 What I'm learning

  • Robust data validation and quality checks for ML pipelines
  • Planning and reasoning strategies in agentic systems
  • RAG pipeline design and retrieval evaluation

💬 Ask me about

  • Designing reproducible ML experiments
  • Turning research prototypes into working tools
  • Running local LLMs (Ollama) for practical tasks
  • Python data workflows and ETL pipelines

⚡ Fun fact

Built my first LLM agent on a 5G testbed. Still not sure which part was harder.


🌐 Socials

GitHub LinkedIn


💻 Tech Stack

Python PyTorch TensorFlow scikit-learn FastAPI Pandas NumPy Plotly Matplotlib SciPy Apache Airflow Docker SQLite Git GitLab Bash Script LaTeX nVIDIA

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  1. xsa-marimo-notebook xsa-marimo-notebook Public

    Reproducing and extending "Exclusive Self Attention" (Zhai, Apple, 2026) as an interactive marimo notebook. Includes live training comparison, bias diagnostics, and a novel partial-projection exper…

    Python

  2. techrag techrag Public

    Production RAG pipeline for technical documentation. Hybrid retrieval (FAISS + BM25), streaming FastAPI, Streamlit UI and deployed on HuggingFace Spaces.

    Python

  3. model-toolbox model-toolbox Public

    A self-hosted toolbox for benchmarking and evaluating open-source LLMs across multiple inference backends with real-time metrics and LLM-as-judge scoring.

    Python

  4. minigpt minigpt Public

    GPT-style transformer trained from scratch on TinyStories. PyTorch + BPE tokenizer + FastAPI serving. Built to understand LLMs from the ground up.

    Python

  5. bigdata-taxi-spark bigdata-taxi-spark Public

    Spark 3.5 notebook + Docker setup for NYC Yellow-Taxi trip-duration prediction (Big Data Analytics assignment)

    Python

  6. f1_qualifying_predictor f1_qualifying_predictor Public

    Machine learning–based Formula 1 qualifying lap time predictor using FastF1 telemetry and XGBoost.

    Jupyter Notebook 1