Yerassyl Saparbekov

Computer Science graduate from Nazarbayev University with a background spanning machine learning research, computer vision, and AI education. His research work includes building NLP pipelines combining multi-encoder embeddings, clustering, and RAG systems, published in Information (MDPI, 2026). He currently mentors the next generation of ML engineers at Tomorrow School (Alem.ai), where he redesigned a full AI/ML curriculum covering everything from deep learning fundamentals to MLOps tooling. His project portfolio spans medical VQA systems, scene text super-resolution, and video-based behavioral analysis. He is fluent across the full ML stack, from PyTorch and Hugging Face to Docker and production deployment.