Hi, I’m Mete Can Akar, a computer scientist and Data & ML & AI Engineer based in the Stuttgart region, Germany.

I hold a Master’s degree in Computer and Information Science from the University of Konstanz, specializing in Data Mining and Big Data.

I’ve been developing software for over 15 years, with more than 10 years of professional experience in software engineering, data engineering, and artificial intelligence.

My journey started with full-stack software development, building web, mobile, and enterprise applications using Java, C#, JavaScript, and SQL. Over the years, my focus shifted toward distributed data processing, cloud platforms, machine learning, and, more recently, generative AI and LLM-based applications.

Today, I work at Mercedes-Benz as a Data & AI Engineer, focusing on building scalable data platforms, production-grade data pipelines, and AI-powered solutions.

What I do

I enjoy working across the entire lifecycle of data and AI solutions, from understanding real-world problems and designing architectures to implementing, deploying, and maintaining systems in production.

My main areas of interest and experience include:

  • Data Engineering: Designing scalable ETL/ELT pipelines, distributed data processing, data modeling, and data quality.
  • Cloud & Data Platforms: Building and modernizing cloud-native data architectures, particularly within the Azure and Databricks ecosystems.
  • Machine Learning & MLOps: Developing and operationalizing machine learning solutions, including model deployment, monitoring, and lifecycle management.
  • Generative AI: Exploring and building applications using large language models (LLMs), retrieval-augmented generation (RAG), and AI agents.
  • Software Engineering & DevOps: Writing maintainable software, automating deployments, and implementing CI/CD, testing, and engineering best practices.

Technologies I work with

Some of the technologies I use regularly or have worked with include:

  • Languages: Python, SQL, Java, C#, JavaScript
  • Data & Cloud: Apache Spark, Azure Databricks, Delta Lake, Unity Catalog, Azure
  • Machine Learning & AI: MLflow, scikit-learn, TensorFlow, LLMs, RAG
  • Orchestration & DevOps: Databricks Workflows, Apache Airflow, GitHub Actions, Azure DevOps, Docker, Kubernetes
  • Software & APIs: FastAPI, REST APIs, Git, automated testing

I particularly enjoy simplifying complex systems, improving their reliability and maintainability, and finding practical ways to turn data and AI technologies into useful applications.

Beyond the code

I believe in Kaizen (continuous improvement), both professionally and personally. I’m naturally curious and enjoy learning new concepts, experimenting with technologies, and sharing knowledge with others.

Outside of technology, I enjoy staying active and spending time outdoors. Some of my favorite activities include calisthenics, basketball, cycling, running, and swimming.

Resume & Contact

You can learn more about my professional background and experience on LinkedIn.

You can also explore some of my projects and experiments on GitHub.

Feel free to connect with me on LinkedIn if you’d like to exchange ideas, discuss technology, or explore opportunities.