Berk Can Özmen

Berk Can Özmen

Applied ML Scientist & Full-Stack Engineer

📍 Berlin, Germany

Get In Touch 📄 CV GitHub

I bridge the gap between rigorous mathematical theory and production-ready code. With an M.Sc. in Computer Science from TU Berlin and hands-on experience ranging from Reinforcement Learning frameworks to custom encrypted cloud ecosystems, I help teams solve complex algorithmic problems and deploy them effectively.

How we can work together: Whether you need deep academic research into an algorithmic problem, a robust MLOps pipeline using FastAPI/Docker, or a rapid full-stack AI web integration, I design systems built to perform.

🛠️ Production Showcases

ML Pipeline with FastAPI

A containerized Scikit and pytorch ML pipeline with FastAPI for model serving and Database models for tracking experiments.

Python MLOps Architecture
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Zettelweb

A django based web app for managing a personal knowledge base using the Zettelkasten method. It allows users to create, organize, and link notes in a structured way.

Django Web Development JavaScript
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