Recent IT-focused business school graduate with a strong interest in machine learning, backend development, and scalable system design. I enjoy combining practical engineering with applied ML, especially in the context of recommender systems, NLP, and deployment.

Currently building a modular recommendation pipeline using FastAI, PyTorch, and LightGBM, with cold-start support and attention-based embedding models. Comfortable working with SQL, Docker, and FastAPI, and experienced in end-to-end ML pipelines from data preprocessing to model deployment.

Looking to connect, learn, and contribute to open, production-oriented ML communities.