PhD Candidate in Experimental Particle Physics → Machine Learning Engineer
Building production-ready ML systems for complex data challenges.
- From Physics to Production: I spent years analyzing petabyte-scale data in experimental particle physics. Now, I translate that rigorous analytical mindset into scalable Machine Learning solutions.
- Current Focus: Building end-to-end ML pipelines using FastAPI, XGBoost, and Docker with a focus on 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/]
