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akgunkaan/README.md

Hi there, I'm Kaan Akgün

Software Engineer | Safety-Critical AI & Autonomous Systems

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Executive Summary

I am a Software Engineer with over 7 years of experience specializing in Safety-Critical AI and Autonomous Systems. Holding a Master's degree, I focus on developing safe AI architectures compliant with EASA aviation regulations and ISO 26262 standards.

My engineering approach is research-oriented, bridging the gap between theoretical safety constraints (ODD/MDD) and practical deployment in robotics and automated driving.

Tech Stack & Skills

Python C++ Rust SQL Bash PyTorch LangChain ONNX Pandas ROS2 Kubernetes Docker Kafka Linux

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  1. Autonomous-ODD-Extraction Autonomous-ODD-Extraction Public

    Extracting and structuring Operational Design Domain (ODD) for autonomous driving systems from the NuScenes dataset using System Entity Structure (SES) to enable safe scenario generation.

    Jupyter Notebook 2 1

  2. Natural-Language-to-ODD-YAML-Converter Natural-Language-to-ODD-YAML-Converter Public

    This project transforms natural language descriptions of Operational Design Domains (ODD) into detailed, structured YAML format using advanced NLP techniques and Python dataclasses. It provides an …

    Python

  3. ODD-Processing-Pipeline-with-Kafka-Redis-and-Cassandra ODD-Processing-Pipeline-with-Kafka-Redis-and-Cassandra Public

    This project demonstrates a data processing pipeline designed to ingest, prioritize, and store Operational Design Domain (ODD) data from YAML files. It leverages a modern, distributed architecture …

    Python

  4. Synthetic-ODD-Data-Generation-based-on-Data-Centric-Characterization Synthetic-ODD-Data-Generation-based-on-Data-Centric-Characterization Public

    A method to generate categorized synthetic Operational Design Domain (ODD) data including nominal, edge, corner, outlier, novelty, and inlier cases by analyzing existing datasets, expanding coverag…

    Jupyter Notebook

  5. autoVal-SLAM autoVal-SLAM Public

    autoVal SLAM is a browser-based autonomous driving prototype using Pyodide/WebAssembly to run Python (NumPy, Matplotlib) LiDAR simulation with zero installation. Deployable via GitHub Pages.

    JavaScript

  6. LLM-Inference-Optimization-Accuracy-Trade-off-Analyzer LLM-Inference-Optimization-Accuracy-Trade-off-Analyzer Public

    Engineered a distributed LLM pipeline to systematically analyze the trade-off between quantization-based ONNX optimization and model fidelity, utilizing industry-standard evaluation methodologies (…

    Python