Grigory Grechkin
Research assistant in machine learning and M.Sc. student at RPTU Kaiserslautern-Landau, working on computer vision models that keep working when the context changes.
My research is supervised by Naghmeh Ghanooni and covers synthetic data generation, data selection, feature-space analysis and mitigating spurious correlations. I train and evaluate large-scale self-supervised and contrastive models, integrate diverse datasets into custom pipelines, and design reproducible multi-run experiments.
Alongside that I build and run things end to end: a home server with a dozen self-hosted services behind one sign-in, and a local assistant over my own documents with the model on a GPU it has to share.

News
- Writing up CoSpRo, my M.Sc. thesis on concept-guided relational pretraining for spurious-correlation robustness. First four-seed Waterbirds results are in.
- Started as a Research Assistant (HiWi) in the Machine Learning group at RPTU Kaiserslautern-Landau.