Zhassulan Zhangbyrbay

NLP, LLM, and ML engineer with 5+ years of end-to-end experience across multilingual text classification, retrieval systems, model fine-tuning, and production deployment. Strong background in transformer architectures, BERT-based classification, Retrieval-Augmented Generation (RAG), GraphRAG on Neo4j, and MLOps best practices. Experienced in building scalable, business-facing AI systems from data preparation and experimentation to deployment, monitoring, and iterative improvement.