About Me

I’m a PhD candidate in Computer Science at TU Berlin (DEEM Lab), with a strong interest in Machine Learning and Data Management—especially at the intersection of both fields.

At the DEEM Lab (Data Engineering for ML), I work under the supervision of Sebastian Schelter and Arnab Phani on stratum, an ML system for efficiently executing large-scale agentic pipeline search. stratum integrates with MLE agents by representing batches of agent-generated pipelines as lazily evaluated DAGs, applying logical and runtime optimizations, and executing them across heterogeneous backends, including a Rust-based runtime. It builds on skrub’s operator abstraction and is under active development.

Previously, I worked as a student research assistant at the DAMS Lab (Data Management for Data Science), supervised by Matthias Boehm, on Apache SystemDS, an open-source ML system that supports the entire data science lifecycle—from data integration and cleaning to feature engineering, model training (both local and distributed), and deployment. I am still a PMC member of the project.