Researcher → Machine Learning Engineer
Building production-ready ML systems for complex data challenges.
- From Research to Production: I spent years analyzing terabyte-scale data in experimental particle physics at CERN. Now, I translate that rigorous analytical mindset into scalable Machine Learning solutions.
- Current Focus: Building end-to-end ML pipelines using FastAPI and Docker with a focus on efficient MLOps and cloud deployment.
- Efficiency Obsessed: Using modern tooling like
uvto build the fastest, most reproducible environments possible. - Learning: Advanced system architecture, Kubernetes, and Large Language Model (LLM) orchestration.
- How to reach me: [https://www.linkedin.com/in/oguz-guzel/]
- CERN Model Live API Deployment: An end-to-end production pipeline packaging a deep learning model into a containerized FastAPI service inside Docker, deployed live with automated workflows. Check out the repository and the API https://oguz-guzel-hf-fastapi-xgboost-deployment.hf.space/docs.