Lyubov Yamschikova

I’m a Machine Learning Engineer with 4+ years of experience in applied ML research and open-source development. At Huawei R&D, I work on time-series forecasting, predictive maintenance, graph neural networks and optimization, taking projects from problem definition through experimental validation and customer handover.

Previously at ITMO University, I contributed 72 merged pull requests to GOLEM and FEDOT. I’ve co-authored four research papers, including a NeurIPS 2024 main-track paper. I’m also developing a RAGFlow-based retrieval component for an agent system.

My core stack includes Python, PyTorch, scikit-learn, gradient boosting, Linux and Docker. I’m interested in full-time ML Engineering and Applied ML roles. Based in Saint Petersburg, I’m open to remote work and relocation to Armenia or Serbia. English: C1.